Triple
T6153268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Drew Carey Show |
E137256
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Ian Gomez |
E584820
|
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: Ian Gomez | Statement: [The Drew Carey Show, starring, Ian Gomez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ian Gomez Context triple: [The Drew Carey Show, starring, Ian Gomez]
-
A.
Ian Gomez
chosen
Ian Gomez is an American character actor best known for his comedic supporting roles on television series such as "Felicity" and "Cougar Town."
-
B.
Christian Gómez
Christian Gómez is an Argentine attacking midfielder best known in the United States for his standout play with D.C. United in Major League Soccer.
-
C.
Omar Gonzalez
Omar Gonzalez is an American professional soccer defender best known for his standout tenure with LA Galaxy and contributions to the United States national team.
-
D.
Daniel Magone
Daniel Magone was a 19th-century American lawyer and Democratic politician who served in prominent federal patronage roles, including overseeing customs operations at the Port of New York.
-
E.
Neal Jimenez
Neal Jimenez was an American screenwriter and director best known for his acclaimed work on films such as "River's Edge" and "The Waterdance."
- 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cffc7bc819092633a9e5f1abe2f |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c603dd70b48190844e513246930b53 |
completed | March 27, 2026, 4:13 a.m. |
Created at: March 22, 2026, 4:16 p.m.