Triple
T15297066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Java Heat |
E365687
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Rob Allyn
Rob Allyn is an American film producer and screenwriter known for his work on international action and drama films.
|
E1157041
|
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: Rob Allyn | Statement: [Java Heat, writer, Rob Allyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rob Allyn Context triple: [Java Heat, writer, Rob Allyn]
-
A.
Bob Alley
Bob Alley is an American figure best known as the former husband of actress Kirstie Alley.
-
B.
Carl Allen
Carl Allen is an American jazz drummer and bandleader known for his dynamic style and extensive work with leading contemporary jazz ensembles.
-
C.
Lou Criger
Lou Criger was a prominent early 20th-century Major League Baseball catcher best known for his work with pitcher Cy Young and his defensive prowess behind the plate.
-
D.
Tom Alberg
Tom Alberg was an American lawyer, venture capitalist, and early Amazon investor known for co-founding the venture capital firm Madrona Venture Group.
-
E.
Ed Alton
Ed Alton is an American television composer best known for scoring numerous sitcoms and series from the 1980s onward.
- 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: Rob Allyn Triple: [Java Heat, writer, Rob Allyn]
Generated description
Rob Allyn is an American film producer and screenwriter known for his work on international action and drama films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rob Allyn Target entity description: Rob Allyn is an American film producer and screenwriter known for his work on international action and drama films.
-
A.
Bob Alley
Bob Alley is an American figure best known as the former husband of actress Kirstie Alley.
-
B.
Carl Allen
Carl Allen is an American jazz drummer and bandleader known for his dynamic style and extensive work with leading contemporary jazz ensembles.
-
C.
Lou Criger
Lou Criger was a prominent early 20th-century Major League Baseball catcher best known for his work with pitcher Cy Young and his defensive prowess behind the plate.
-
D.
Tom Alberg
Tom Alberg was an American lawyer, venture capitalist, and early Amazon investor known for co-founding the venture capital firm Madrona Venture Group.
-
E.
Ed Alton
Ed Alton is an American television composer best known for scoring numerous sitcoms and series from the 1980s onward.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e036848c1881908fbaaae0216d6d27 |
completed | April 16, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21945b60819098ea91d9693cb8e3 |
completed | May 9, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_69ff225ba3bc8190b57da931ffa240fe |
completed | May 9, 2026, 12:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff2339ae808190bf2d4676215399c0 |
completed | May 9, 2026, 12:06 p.m. |
Created at: April 10, 2026, 3:15 a.m.