Triple
T6162014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Intern |
E137463
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Nat Wolff |
E269519
|
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: Nat Wolff | Statement: [The Intern, castMember, Nat Wolff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nat Wolff Context triple: [The Intern, castMember, Nat Wolff]
-
A.
Nat Wolff
chosen
Nat Wolff is an American actor and musician best known for his roles in young adult film adaptations and his early work on the Nickelodeon series "The Naked Brothers Band."
-
B.
Jonah Platt
Jonah Platt is an American actor and singer known for his work in musical theatre, television, and as part of the entertainment-industry Platt family.
-
C.
Kellan Lutz
Kellan Lutz is an American actor and model best known for playing the vampire Emmett Cullen in the Twilight film series.
-
D.
Alex Pettyfer
Alex Pettyfer is an English actor and model known for roles in films such as "Stormbreaker," "I Am Number Four," and "Magic Mike."
-
E.
Wyatt Russell
Wyatt Russell is an American actor and former professional ice hockey player known for roles in films like "22 Jump Street" and the Marvel series "The Falcon and the Winter Soldier."
- 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_69c008a54fc88190b6ce4416490ca79d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d371484819090c18b62b095b49e |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c14199f024819089af02b1c0eebfad |
completed | March 23, 2026, 1:35 p.m. |
Created at: March 22, 2026, 4:17 p.m.