Triple
T14411909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Flash (2023 film) |
E357349
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | John Francis Daley |
E77371
|
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: John Francis Daley | Statement: [The Flash (2023 film), storyBy, John Francis Daley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Francis Daley Context triple: [The Flash (2023 film), storyBy, John Francis Daley]
-
A.
John Francis Daley
chosen
John Francis Daley is an American actor, screenwriter, and director best known for his role on the TV series "Freaks and Geeks" and for co-writing and directing films such as "Game Night" and "Dungeons & Dragons: Honor Among Thieves."
-
B.
Colin Hanks
Colin Hanks is an American actor and filmmaker known for roles in projects such as "Orange County," "Fargo," and "Life in Pieces."
-
C.
William H. Doremus
William H. Doremus was an American individual notable enough to be interred at Hackensack Cemetery in Hackensack, New Jersey.
-
D.
Josh Hutcherson
Josh Hutcherson is an American actor best known for his role as Peeta Mellark in "The Hunger Games" film series.
-
E.
Mike Colter
Mike Colter is an American actor best known for starring as the superpowered hero in Marvel's Netflix series "Luke Cage."
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cb3c708190822f5506ebf7ee9d |
completed | April 14, 2026, 7:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd55269d8c81909592277741a93db6 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:17 a.m.