Triple
T15353615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Peyser |
E367115
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Matador |
E768574
|
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: The Matador | Statement: [Michael Peyser, notableWork, The Matador]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Matador Context triple: [Michael Peyser, notableWork, The Matador]
-
A.
The Matador
chosen
The Matador is a 2005 dark comedy crime film starring Pierce Brosnan as a jaded hitman who forms an unlikely friendship with a struggling businessman, directed by Richard Shepard.
-
B.
El Matador
El Matador is the famous nickname of Mexican former football striker Luis Hernández, known for his prolific goal-scoring and standout performances in the late 1990s.
-
C.
El Matador
El Matador is the famous nickname of Argentine football legend Mario Kempes, the prolific striker who starred in Argentina’s 1978 World Cup triumph.
-
D.
Matadors
The Matadors are the athletic teams representing California State University, Northridge in NCAA competition.
-
E.
Matador
Matador is a 2014 American action-comedy television series that follows a charismatic soccer star who secretly works as a CIA operative.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2a8e88819093e4b7479b2c80cd |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01ff42d48190897e6653d2b4f8a4 |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:18 a.m.