Triple
T15921322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Light Years |
E386098
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Ron Moss
Ron Moss is a film producer best known for his work on the science fiction movie "Light Years."
|
E1207076
|
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: Ron Moss | Statement: [Light Years, producer, Ron Moss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ron Moss Context triple: [Light Years, producer, Ron Moss]
-
A.
John Moss
John Moss is a tough, streetwise New York City detective who serves as one of the main protagonists in the action-comedy film "The Hard Way."
-
B.
Phil Mossman
Phil Mossman is a British musician and composer best known for his work in electronic and experimental music, including film scores and collaborations with acts like LCD Soundsystem.
-
C.
Perry Moss
Perry Moss was an American football coach and former player best known for his roles in college and professional leagues, including the NFL and various alternative football leagues.
-
D.
Phil Morrow
Phil Morrow is a television producer known for his work in developing and producing various entertainment and factual programs.
-
E.
Howard Moss
Howard Moss was an American poet, critic, and longtime poetry editor of The New Yorker, known for his elegant verse and influential role in mid-20th-century American literature.
- 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: Ron Moss Triple: [Light Years, producer, Ron Moss]
Generated description
Ron Moss is a film producer best known for his work on the science fiction movie "Light Years."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ron Moss Target entity description: Ron Moss is a film producer best known for his work on the science fiction movie "Light Years."
-
A.
John Moss
John Moss is a tough, streetwise New York City detective who serves as one of the main protagonists in the action-comedy film "The Hard Way."
-
B.
Phil Mossman
Phil Mossman is a British musician and composer best known for his work in electronic and experimental music, including film scores and collaborations with acts like LCD Soundsystem.
-
C.
Perry Moss
Perry Moss was an American football coach and former player best known for his roles in college and professional leagues, including the NFL and various alternative football leagues.
-
D.
Phil Morrow
Phil Morrow is a television producer known for his work in developing and producing various entertainment and factual programs.
-
E.
Howard Moss
Howard Moss was an American poet, critic, and longtime poetry editor of The New Yorker, known for his elegant verse and influential role in mid-20th-century American literature.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156818cbc819086c956475ad23825 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0025ec39a8819081c0cf996bc59416 |
completed | May 10, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_6a00280686f881909cd2330c018a7e8d |
completed | May 10, 2026, 6:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00285ad1a08190961fdef3f3f991fa |
completed | May 10, 2026, 6:40 a.m. |
Created at: April 10, 2026, 4:52 a.m.