Triple
T15400755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Tripper |
E368307
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Michael Ross |
E161494
|
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: Michael Ross | Statement: [Jack Tripper, creator, Michael Ross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Ross Context triple: [Jack Tripper, creator, Michael Ross]
-
A.
Michael Ross
chosen
Michael Ross was an American television writer and producer best known for co-creating influential sitcoms such as The Jeffersons.
-
B.
Michael Ross
Michael Ross is a film editor known for his work on the documentary "The True Cost," which examines the global impact of the fashion industry.
-
C.
Mike Ross
Mike Ross is a brilliant but unlicensed lawyer with a photographic memory who becomes a central figure at a prestigious New York law firm in the TV series "Suits."
-
D.
Michael T. Ross
Michael T. Ross is an American rock keyboardist known for his work with bands such as Hardline and Lita Ford.
-
E.
Howard Hamlin
Howard Hamlin is a high-powered, image-conscious attorney and partner at the law firm Hamlin, Hamlin & McGill in the television series "Better Call Saul."
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8d89e08190b7cae778d89fb5e1 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff13567e3481908eb6293c6af35f3a |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:19 a.m.