Triple
T9945423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LILO |
E195191
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object |
John Coffman
John Coffman is a software developer best known for his work on the Linux Loader (LILO) bootloader for Linux systems.
|
E830111
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: John Coffman | Statement: [LILO, developer, John Coffman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Coffman Context triple: [LILO, developer, John Coffman]
-
A.
Stephen Stucker
Stephen Stucker was an American comic actor best known for his flamboyant, scene-stealing role as air traffic controller Johnny in the parody film "Airplane!".
-
B.
Fred Karger
Fred Karger was an American musician and vocal coach best known for his work at major Hollywood studios and his long, on-and-off marriage to actress Jane Wyman.
-
C.
Paul Q. Kolderie
Paul Q. Kolderie is an American record producer and engineer known for his work with influential alternative rock bands, including co-producing Radiohead’s debut album "Pablo Honey."
-
D.
David Anspaugh
David Anspaugh is an American film and television director best known for directing the sports dramas "Hoosiers" and "Rudy."
-
E.
Peter Gerety
Peter Gerety is an American character actor known for his extensive work in film and television, including roles in series like "The Wire" and "Sneaky Pete."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: John Coffman Triple: [LILO, developer, John Coffman]
Generated description
John Coffman is a software developer best known for his work on the Linux Loader (LILO) bootloader for Linux systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Coffman Target entity description: John Coffman is a software developer best known for his work on the Linux Loader (LILO) bootloader for Linux systems.
-
A.
Stephen Stucker
Stephen Stucker was an American comic actor best known for his flamboyant, scene-stealing role as air traffic controller Johnny in the parody film "Airplane!".
-
B.
Fred Karger
Fred Karger was an American musician and vocal coach best known for his work at major Hollywood studios and his long, on-and-off marriage to actress Jane Wyman.
-
C.
Paul Q. Kolderie
Paul Q. Kolderie is an American record producer and engineer known for his work with influential alternative rock bands, including co-producing Radiohead’s debut album "Pablo Honey."
-
D.
David Anspaugh
David Anspaugh is an American film and television director best known for directing the sports dramas "Hoosiers" and "Rudy."
-
E.
Peter Gerety
Peter Gerety is an American character actor known for his extensive work in film and television, including roles in series like "The Wire" and "Sneaky Pete."
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca82e96a108190932bd1fc4acd73a0 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb61561848190aba7250f3b3c4ed5 |
completed | April 2, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2292257bc8190b3a15de60d7c9ba2 |
completed | April 5, 2026, 9:19 a.m. |
| NEDg | Description generation | batch_69d229b3b200819083aa90f64eaec9e8 |
completed | April 5, 2026, 9:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d22a2d14fc8190b2493ce571811d43 |
completed | April 5, 2026, 9:23 a.m. |
Created at: March 30, 2026, 8:45 p.m.