Triple
T7581271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercury Theatre |
E179490
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Paul Stewart |
E239864
|
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: Paul Stewart | Statement: [Mercury Theatre, hasMember, Paul Stewart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Stewart Context triple: [Mercury Theatre, hasMember, Paul Stewart]
-
A.
Paul Stewart
Paul Stewart is a former British racing driver and motorsport team owner, best known for co-founding and managing Paul Stewart Racing, which later evolved into the Stewart Grand Prix Formula One team.
-
B.
Paul Stewart
chosen
Paul Stewart was an American character actor and director known for his tough-guy roles in film noir and classic Hollywood cinema.
-
C.
Tim Stevenson
Tim Stevenson is a British public servant who has served as the ceremonial representative of the monarch in Oxfordshire.
-
D.
Hal Stewart
Hal Stewart is the cameraman-turned-supervillain known as Tighten in the animated film "Megamind."
-
E.
Phil Rogers
Phil Rogers is an American sportswriter and baseball analyst known for his extensive coverage of Major League Baseball and authorship of several books on the sport.
- 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_69c69f327db881909a21ae3b156f8ded |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f97717048190b0ca1a74ed8a817e |
completed | March 27, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c861735c7c81908e2c9fcbb1005ec3 |
completed | March 28, 2026, 11:17 p.m. |
Created at: March 27, 2026, 3:52 p.m.