Triple
T14723021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Into the Storm (2014 film) |
E345861
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Daryl |
E242538
|
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: Daryl | Statement: [Into the Storm (2014 film), hasCharacter, Daryl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daryl Context triple: [Into the Storm (2014 film), hasCharacter, Daryl]
-
A.
Daryl
chosen
Daryl is a given name commonly used for people of any gender, notably borne by figures in sports, entertainment, and public life.
-
B.
Darryl
Darryl is a masculine given name most notably associated with influential American film producer and studio executive Darryl F. Zanuck.
-
C.
Darrell
Darrell is the central protagonist of the film "In the Mix," around whom the story’s main events and conflicts revolve.
-
D.
Derrel
Derrel is the given first name of former Major League Baseball shortstop and manager Bud Harrelson.
-
E.
Darren
Darren is a masculine given name commonly used in English-speaking countries.
- 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.