Triple
T17029013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intolerable Cruelty |
E413140
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | John Romano |
—
|
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: John Romano | Statement: [Intolerable Cruelty, screenwriter, John Romano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Romano Context triple: [Intolerable Cruelty, screenwriter, John Romano]
-
A.
John Romano
chosen
John Romano is an American screenwriter and producer known for adapting crime and legal thrillers for film and television, including work on "The Lincoln Lawyer."
-
B.
Frank Romano
Frank Romano is an author best known for writing the book "Just a Dream."
-
C.
Frank Romano
Frank Romano is a music producer and songwriter known for his work on contemporary R&B and pop tracks, including the song "Just a Dream."
-
D.
Joseph Romano
Joseph Romano is an individual known primarily as the sibling of Alex Romano.
-
E.
Lou Romano
Lou Romano is an American animator, art director, and voice actor best known for his work with Pixar, including voicing the character Alfredo Linguini in the film "Ratatouille."
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d858448190acfe81f10d83ed4b |
completed | April 18, 2026, 7:04 p.m. |
Created at: April 10, 2026, 5:33 a.m.