Triple
T1809701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luca |
E40302
|
entity |
| Predicate | voiceCastMember |
P9616
|
FINISHED |
| Object | Jack Dylan Grazer |
E197874
|
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: Jack Dylan Grazer | Statement: [Luca, voiceCastMember, Jack Dylan Grazer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Dylan Grazer Context triple: [Luca, voiceCastMember, Jack Dylan Grazer]
-
A.
Jack Dylan Grazer
chosen
Jack Dylan Grazer is an American actor best known for his breakout role in the horror film "It" (2017) and subsequent work in both film and television.
-
B.
Caleb McLaughlin
Caleb McLaughlin is an American actor best known for playing Lucas Sinclair in the Netflix science-fiction horror series "Stranger Things."
-
C.
Jacob Latimore
Jacob Latimore is an American actor and R&B singer known for roles in films like "The Maze Runner" and the TV series "The Chi."
-
D.
Joel McKinnon Miller
Joel McKinnon Miller is an American character actor best known for playing the affable Detective Norm Scully on the television comedy series "Brooklyn Nine-Nine."
-
E.
Jaeden Lieberher
Jaeden Lieberher is an American actor best known for his leading role as Bill Denbrough in the horror film "It" (2017), as well as performances in movies like "St. Vincent" and "Midnight Special."
- 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa65c310d88190bfd9c27fa238e648 |
completed | March 6, 2026, 5:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf3fd6bc81908b762644fb588f0a |
completed | March 8, 2026, 8:42 p.m. |
Created at: March 4, 2026, 7:32 p.m.