Triple
T17564958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pagemaster |
E427786
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Ernie Contreras
Ernie Contreras is a screenwriter best known for co-writing the 1994 fantasy adventure film "The Pagemaster."
|
E1275272
|
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: Ernie Contreras | Statement: [The Pagemaster, screenwriter, Ernie Contreras]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ernie Contreras Context triple: [The Pagemaster, screenwriter, Ernie Contreras]
-
A.
Armando Dominguez
Armando Dominguez was a Mexican composer known for his work in film music, including contributing the score to the experimental Disney–Dalí short film "Destino."
-
B.
Mannie Rodriguez
Mannie Rodriguez is a songwriter best known for contributing to the track "I Like It."
-
C.
Ernest Medina
Ernest Medina was a U.S. Army captain best known for his controversial role and subsequent court-martial in connection with the 1968 My Lai massacre during the Vietnam War.
-
D.
Reynaldo Villalobos
Reynaldo Villalobos is a cinematographer best known for his work on notable American films such as the comedy classic "9 to 5."
-
E.
Rudy Reyes
Rudy Reyes is a former U.S. Marine turned actor and military advisor best known for portraying himself in the HBO miniseries "Generation Kill."
- 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: Ernie Contreras Triple: [The Pagemaster, screenwriter, Ernie Contreras]
Generated description
Ernie Contreras is a screenwriter best known for co-writing the 1994 fantasy adventure film "The Pagemaster."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ernie Contreras Target entity description: Ernie Contreras is a screenwriter best known for co-writing the 1994 fantasy adventure film "The Pagemaster."
-
A.
Armando Dominguez
Armando Dominguez was a Mexican composer known for his work in film music, including contributing the score to the experimental Disney–Dalí short film "Destino."
-
B.
Mannie Rodriguez
Mannie Rodriguez is a songwriter best known for contributing to the track "I Like It."
-
C.
Ernest Medina
Ernest Medina was a U.S. Army captain best known for his controversial role and subsequent court-martial in connection with the 1968 My Lai massacre during the Vietnam War.
-
D.
Reynaldo Villalobos
Reynaldo Villalobos is a cinematographer best known for his work on notable American films such as the comedy classic "9 to 5."
-
E.
Rudy Reyes
Rudy Reyes is a former U.S. Marine turned actor and military advisor best known for portraying himself in the HBO miniseries "Generation Kill."
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4592ce42c8190a54a0a328c5e8ffc |
completed | April 19, 2026, 4:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01d29a14288190b5b665c5450b7c18 |
completed | May 11, 2026, 12:59 p.m. |
| NEDg | Description generation | batch_6a01d43430d481909b07d8ecc09a185f |
completed | May 11, 2026, 1:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01d4c609fc819089147744317d4be3 |
completed | May 11, 2026, 1:08 p.m. |
Created at: April 10, 2026, 5:50 a.m.