Triple
T10682172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RoboCop |
E251783
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Frank J. Urioste |
E316651
|
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: Frank J. Urioste | Statement: [RoboCop, editedBy, Frank J. Urioste]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frank J. Urioste Context triple: [RoboCop, editedBy, Frank J. Urioste]
-
A.
Frank J. Urioste
chosen
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.
-
B.
George A. Mendoza
George A. Mendoza is a film producer best known for his work on Disney’s animated feature "The Lion King 1½."
-
C.
Juan N. Álvarez
Juan N. Álvarez was a 19th-century Mexican liberal general and politician who briefly served as President of Mexico and played a key role in the country's Reform era.
-
D.
Harold R. Medina
Harold R. Medina was a prominent American federal judge best known for presiding over major mid-20th-century trials and for his influential role in shaping U.S. jurisprudence.
-
E.
Emilio N. Echevarria
Emilio N. Echevarria was an individual of sufficient historical or military significance to merit interment at the Santa Fe National Cemetery in New Mexico.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fcc30be481909922844b539b622d |
completed | April 9, 2026, 1:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d98885abf88190b54ed9db779d3ff0 |
completed | April 10, 2026, 11:32 p.m. |
Created at: April 8, 2026, 9:10 p.m.