Triple
T14930073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Connor Hutcherson |
E372236
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Hutcherson |
E352284
|
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: Hutcherson | Statement: [Connor Hutcherson, hasFamilyName, Hutcherson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hutcherson Context triple: [Connor Hutcherson, hasFamilyName, Hutcherson]
-
A.
Hutcherson
chosen
Hutcherson is the surname of American actor Josh Hutcherson, best known for his role as Peeta Mellark in The Hunger Games film series.
-
B.
Hutson
Hutson is a surname most notably associated with Don Hutson, a pioneering American football wide receiver regarded as one of the sport’s earliest stars.
-
C.
Reeser
Reeser is a surname most notably associated with American actress Autumn Reeser, known for her roles in television and film.
-
D.
Hutch Parker
Hutch Parker is an American film producer known for his work on major superhero franchises, including multiple X-Men films and the 2015 reboot of Fantastic Four.
-
E.
Hayden
Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded64550dc8190ba44120df00ba498 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72c728948190a1cfc62f4038b6ec |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 2:36 a.m.