Triple
T18711458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starman |
E457523
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Larry J. Franco |
—
|
NE NERFINISHED |
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: Larry J. Franco | Statement: [Starman, producer, Larry J. Franco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larry J. Franco Context triple: [Starman, producer, Larry J. Franco]
-
A.
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.
-
B.
Larry Franco
chosen
Larry Franco is an American film producer known for his work on major Hollywood movies, including action, science fiction, and comic book adaptations.
-
C.
Larry Maretto
Larry Maretto is a character in the dark comedy film "To Die For," portrayed as the unsuspecting husband whose murder becomes the focus of his ambitious wife's deadly schemes.
-
D.
Frank C. Ortis
Frank C. Ortis is an American politician best known for serving as the long-time mayor of Pembroke Pines, Florida.
-
E.
Ross A. Lurgio
Ross A. Lurgio was a local figure of significance—likely an educator or community leader in Bedford, New Hampshire—honored by having the town’s middle school named after him.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5671b34508190b6180f7d6ad50a58 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 10, 2026, 11:50 a.m.