Triple
T8441978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Lieber |
E199369
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Don Heck |
E349885
|
NE FINISHED |
How this triple was built (2 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: Don Heck | Statement: [Larry Lieber, workedWith, Don Heck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Heck Context triple: [Larry Lieber, workedWith, Don Heck]
-
A.
Don Heck
chosen
Don Heck was an American comic book artist best known as one of the co-creators of Marvel superheroes such as Iron Man, Hawkeye, and Black Widow.
-
B.
Mike Salisbury
Mike Salisbury is a music producer known for his work on the project Meat Eaters.
-
C.
Mike Salisbury
Mike Salisbury is a British television producer best known for his work on major natural history documentaries, including serving as an executive producer on David Attenborough’s acclaimed series "The Life of Birds."
-
D.
Dan Burton
Dan Burton is an American Republican politician who served as a U.S. Representative from Indiana and was known for his strong anti-Castro stance and conservative positions.
-
E.
Jim Leach
Jim Leach is an American Republican politician and former U.S. Representative from Iowa known for his work on financial services legislation and government ethics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe30fba4081908bfdef3faf5baceb |
completed | March 31, 2026, 3:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1da3a99481909c9beae665bb5b83 |
completed | April 2, 2026, 7:41 a.m. |
Created at: March 30, 2026, 6:08 p.m.