Triple
T14723011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Into the Storm (2014 film) |
E345861
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Jeremy Sumpter |
E670897
|
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: Jeremy Sumpter | Statement: [Into the Storm (2014 film), stars, Jeremy Sumpter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeremy Sumpter Context triple: [Into the Storm (2014 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.
Alex Hibbert
Alex Hibbert is an American actor best known for his acclaimed performance as young Chiron in the Oscar-winning film "Moonlight."
-
C.
Jesse Hartley
Jesse Hartley was a 19th-century British civil engineer and dock architect best known for designing and overseeing the construction of Liverpool’s pioneering dock systems.
-
D.
Christopher Henderson
Christopher Henderson is a fictional high-ranking counterterrorism operative and former mentor to Jack Bauer in the television series "24."
-
E.
Adrian Lester
Adrian Lester is a British actor and director acclaimed for his powerful stage performances in both classical and contemporary theatre, as well as notable roles in film and television.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec25e9a14819081fa06fc601f295d |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0ce3d1d88190951e88bef88db500 |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:29 a.m.