Triple
T5829662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Santos |
E129312
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Jimmy Smits |
E70061
|
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: Jimmy Smits | Statement: [Matt Santos, portrayedBy, Jimmy Smits]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jimmy Smits Context triple: [Matt Santos, portrayedBy, Jimmy Smits]
-
A.
Jimmy Smits
chosen
Jimmy Smits is an American actor known for his prominent roles in television dramas such as L.A. Law, NYPD Blue, and The West Wing.
-
B.
Richard Thomas
Richard Thomas is an American actor best known for his Emmy-winning role as John-Boy Walton on the television series "The Waltons."
-
C.
Anne McDonnell
Anne McDonnell was an American socialite best known as the first wife of industrialist Henry Ford II.
-
D.
Jack Warden
Jack Warden was an American character actor known for his prolific film and television career, including notable roles in classics like "12 Angry Men," "Heaven Can Wait," and "Shampoo."
-
E.
Dominique Caine
Dominique Caine is one of the children of acclaimed British actor Michael Caine.
- 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_69c00849d55481908b4f9f5543e0bf6d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0346905848190a8f541401da05604 |
completed | March 22, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c09866fd248190b4248a993051b732 |
completed | March 23, 2026, 1:33 a.m. |
Created at: March 22, 2026, 3:54 p.m.