Triple
T22828957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Pan (2003 film) |
E565743
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Jeremy Sumpter |
—
|
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: Jeremy Sumpter | Statement: [Peter Pan (2003 film), stars, Jeremy Sumpter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeremy Sumpter Context triple: [Peter Pan (2003 film), stars, Jeremy Sumpter]
-
A.
Jeremy Sumpter
chosen
Jeremy Sumpter is an American actor best known for playing the title role in the 2003 film adaptation of "Peter Pan."
-
B.
Jonathan Firth
Jonathan Firth is a British actor known for his work in film, television, and theatre, including period dramas and literary adaptations.
-
C.
Nick Hopewell
Nick Hopewell is a British secret agent and one of the central passengers who confronts the mysterious temporal catastrophe in Stephen King’s novella and miniseries "The Langoliers."
-
D.
Alex Hibbert
Alex Hibbert is an American actor best known for his acclaimed performance as young Chiron in the Oscar-winning film "Moonlight."
-
E.
Tim Firth
Tim Firth is a British playwright and screenwriter known for works such as the hit film and stage musical "Calendar Girls."
- 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_69e24585ab1c81909b2b5065d15805d5 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e2a0e308190941064965346f890 |
completed | April 29, 2026, 3:42 a.m. |
Created at: April 17, 2026, 3:34 p.m.