Triple
T18755416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bird Box |
E458635
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Clayton Townsend |
—
|
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: Clayton Townsend | Statement: [Bird Box, producer, Clayton Townsend]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clayton Townsend Context triple: [Bird Box, producer, Clayton Townsend]
-
A.
Clayton Townsend
chosen
Clayton Townsend is a film producer known for his work on major Hollywood comedies and dramas, including the hit movie "Bridesmaids."
-
B.
Tom Courtney
Tom Courtney is the central protagonist of the film "Monsoon," around whom the story’s primary events and character development revolve.
-
C.
John Milledge
John Milledge was an American politician and statesman who served as governor of Georgia and a U.S. congressman in the early 19th century.
-
D.
Steven M. Tipton
Steven M. Tipton is an American sociologist of religion and ethics known for his collaborative work on the role of religion and moral values in contemporary American life.
-
E.
Roger Woodard
Roger Woodard is a scholar best known for his work in classical studies and Indo-European linguistics, particularly on ancient Greek language and writing systems.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e579f084208190a4b3563d47154e69 |
completed | April 20, 2026, 12:57 a.m. |
Created at: April 10, 2026, 11:51 a.m.