Triple
T16782449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Estate (2022 film) |
E407888
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Brian O’Shea |
—
|
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: Brian O’Shea | Statement: [The Estate (2022 film), producer, Brian O’Shea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian O’Shea Context triple: [The Estate (2022 film), producer, Brian O’Shea]
-
A.
Brian O’Shea
chosen
Brian O’Shea is a film producer known for his work on the drama feature "At Any Price."
-
B.
Michael O'Shea
Michael O'Shea was an American film and television actor active in the mid-20th century, known for roles in movies such as "The Eve of St. Mark" and "Jack London."
-
C.
Sean O’Connor
Sean O’Connor is the son of Irish actor and comedian Hugh O’Connor.
-
D.
Mark O’Connor
Mark O’Connor is a cinematographer known for his work on documentary and feature films, including the 2015 documentary "This Changes Everything."
-
E.
Mark O’Connor
Mark O’Connor is an American violinist, composer, and fiddler renowned for blending classical, jazz, and American folk traditions, particularly in contemporary string music.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b217b2108190bbba262a3b324509 |
completed | April 18, 2026, 4:32 p.m. |
Created at: April 10, 2026, 5:22 a.m.