Triple
T11253719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Hicks |
E266384
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Dennis Leary |
E219114
|
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: Dennis Leary | Statement: [Bill Hicks, influenced, Dennis Leary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dennis Leary Context triple: [Bill Hicks, influenced, Dennis Leary]
-
A.
Denis Leary
chosen
Denis Leary is an American actor and comedian known for his acerbic stand-up style and roles in projects like the TV series "Rescue Me" and the "Ice Age" film franchise.
-
B.
Ted McGinley
Ted McGinley is an American actor best known for his roles on television series such as "Married... with Children," "Happy Days," and "The Love Boat."
-
C.
Richard Lewis
Richard Lewis was an American stand-up comedian and actor best known for his neurotic, self-deprecating style and his long-running role as Larry David’s friend on Curb Your Enthusiasm.
-
D.
Martin Mull
Martin Mull is an American actor, comedian, and musician known for his dry wit and roles in television comedies and films.
-
E.
Ted Danson
Ted Danson is an American actor best known for his iconic role as bartender Sam Malone on the television sitcom "Cheers" and for his extensive work in film and television comedy.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e933648481909873094bc89ed041 |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4cc941d34819099ae30713bdd03e5 |
completed | April 19, 2026, 12:37 p.m. |
Created at: April 8, 2026, 9:31 p.m.