Triple
T6357994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Cooper |
E143039
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Timothée Chalamet |
E152497
|
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: Timothée Chalamet | Statement: [Tom Cooper, portrayedBy, Timothée Chalamet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Timothée Chalamet Context triple: [Tom Cooper, portrayedBy, Timothée Chalamet]
-
A.
Timothée Chalamet
chosen
Timothée Chalamet is an American actor known for his critically acclaimed performances in films such as "Call Me by Your Name," "Dune," and "Lady Bird."
-
B.
Lucas Hedges
Lucas Hedges is an American actor known for his acclaimed performances in films such as "Manchester by the Sea," "Lady Bird," and "Boy Erased."
-
C.
Jacob Elordi
Jacob Elordi is an Australian actor best known for his breakout role as Nate Jacobs in the HBO series "Euphoria" and for starring in films such as "The Kissing Booth" and "Priscilla."
-
D.
David Corenswet
David Corenswet is an American actor best known for being cast as Superman/Clark Kent in James Gunn’s upcoming DC Universe film "Superman" (2025).
-
E.
Brenton Thwaites
Brenton Thwaites is an Australian actor known for roles in films such as "The Giver," "Pirates of the Caribbean: Dead Men Tell No Tales," and the TV series "Titans."
- 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_69c008d7a9c4819098d647ec47776917 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067f5bdd481909cf9db595ddb27df |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640b2915481909f3251f9c34e8db2 |
completed | March 27, 2026, 8:32 a.m. |
Created at: March 22, 2026, 4:32 p.m.