Triple
T4440824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Predator |
E95765
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Richard Chaves
Richard Chaves is an American actor best known for his role as Poncho in the 1987 science fiction action film "Predator."
|
E439208
|
NE FINISHED |
How this triple was built (4 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: Richard Chaves | Statement: [Predator, starring, Richard Chaves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Chaves Context triple: [Predator, starring, Richard Chaves]
-
A.
José Chávez
José Chávez is a Spanish-speaking personal name shared by multiple individuals, most commonly associated with Latin American figures in sports, politics, and the arts.
-
B.
Víctor Chávez
Víctor Chávez is a person notable enough to be specifically distinguished as a bearer of the surname Chávez.
-
C.
David Mendoza
David Mendoza was a composer and conductor active in early 20th-century cinema, known for his work on silent film scores.
-
D.
Frank J. Urioste
Frank J. Urioste is an American film editor known for his work on major action and genre films, including blockbusters like Die Hard, RoboCop, and Total Recall.
-
E.
Michele Tafoya
Michele Tafoya is an American sportscaster best known for her long tenure as a sideline reporter on major NFL broadcasts, including Sunday Night Football.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Richard Chaves Triple: [Predator, starring, Richard Chaves]
Generated description
Richard Chaves is an American actor best known for his role as Poncho in the 1987 science fiction action film "Predator."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Richard Chaves Target entity description: Richard Chaves is an American actor best known for his role as Poncho in the 1987 science fiction action film "Predator."
-
A.
José Chávez
José Chávez is a Spanish-speaking personal name shared by multiple individuals, most commonly associated with Latin American figures in sports, politics, and the arts.
-
B.
Víctor Chávez
Víctor Chávez is a person notable enough to be specifically distinguished as a bearer of the surname Chávez.
-
C.
David Mendoza
David Mendoza was a composer and conductor active in early 20th-century cinema, known for his work on silent film scores.
-
D.
Frank J. Urioste
Frank J. Urioste is an American film editor known for his work on major action and genre films, including blockbusters like Die Hard, RoboCop, and Total Recall.
-
E.
Michele Tafoya
Michele Tafoya is an American sportscaster best known for her long tenure as a sideline reporter on major NFL broadcasts, including Sunday Night Football.
- F. None of above. chosen
Provenance (5 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355ac05e081908411089c05fc36bd |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b61380fca08190bf036a7d82cee0e7 |
completed | March 15, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_69b6143adefc81908f6c639906e0fd1a |
completed | March 15, 2026, 2:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b614b00dbc8190a7ea0477bedbc96a |
completed | March 15, 2026, 2:08 a.m. |
Created at: March 12, 2026, 11:32 p.m.