Triple
T500351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Martin |
E10385
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Steve Martin |
E10385
|
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: Steve Martin | Statement: [Steve Martin, name, Steve Martin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Martin Context triple: [Steve Martin, name, Steve Martin]
-
A.
Steve Martin
chosen
Steve Martin is an American comedian, actor, writer, and musician renowned for his influential stand-up comedy, film roles, and contributions to American humor.
-
B.
Bob Newhart
Bob Newhart is an American stand-up comedian and actor renowned for his deadpan delivery and influential comedy albums and sitcoms, including "The Bob Newhart Show" and "Newhart."
-
C.
Billy Crystal
Billy Crystal is an American comedian, actor, and filmmaker renowned for his stand-up, film roles, and multiple stints hosting the Academy Awards.
-
D.
Bill Murray
Bill Murray is an American actor and comedian renowned for his deadpan humor and iconic roles in films such as "Ghostbusters," "Groundhog Day," and "Lost in Translation."
-
E.
Robin Williams
Robin Williams was an acclaimed American actor and comedian known for his rapid-fire improvisational style and memorable roles in films such as "Good Will Hunting," "Dead Poets Society," and "Mrs. Doubtfire."
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f13096248190a622a58dcf540b00 |
completed | Feb. 28, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a485456cfc81908fab6c5d9548ebb9 |
completed | March 1, 2026, 6:28 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.