Triple
T9830258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Detroit (2017 film) |
E238763
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Will Poulter |
E257895
|
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: Will Poulter | Statement: [Detroit (2017 film), starring, Will Poulter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will Poulter Context triple: [Detroit (2017 film), starring, Will Poulter]
-
A.
Will Poulter
chosen
Will Poulter is a British actor known for his versatile performances in films such as "Midsommar," "The Revenant," and "We're the Millers."
-
B.
Mateo Firth
Mateo Firth is a person known primarily as the sibling of Luca Firth.
-
C.
Judah Lewis
Judah Lewis is an American actor known for his roles in films such as "The Babysitter," "Demolition," and "Summer of 84."
-
D.
Joshua Bassett
Joshua Bassett is an American actor and singer best known for his breakout role in Disney+'s "High School Musical: The Musical: The Series" and his subsequent pop music career.
-
E.
Aden Young
Aden Young is an Australian actor known for his work in film and television, particularly for his acclaimed lead role in the drama series "Rectify."
- 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_69ca84e0dd1881909800765d1e21f735 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3297bd88190bf8c53a4ba00e0ae |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc8ca2808190a1da0641162f12d1 |
completed | April 5, 2026, 2:44 a.m. |
Created at: March 30, 2026, 8:32 p.m.