Triple
T14566923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaos Walking |
E341807
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Christopher Ford |
E865006
|
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: Christopher Ford | Statement: [Chaos Walking, screenwriter, Christopher Ford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christopher Ford Context triple: [Chaos Walking, screenwriter, Christopher Ford]
-
A.
Christopher Ford
chosen
Christopher Ford is an American screenwriter known for co-writing major films such as the Marvel Cinematic Universe movie "Spider-Man: Homecoming."
-
B.
Sam Ford
Sam Ford is the son of Nathan Ford, the central mastermind character from the television series "Leverage."
-
C.
Christopher O’Neal
Christopher O’Neal is an American actor best known for his starring role on the Nickelodeon teen sitcom "How to Rock."
-
D.
Michael Ford
Michael Ford is an actor known for his role in the film "The Little People."
-
E.
Trevor Ford
Trevor Ford was a British geologist and paleontologist noted for his influential work on the fossils and geology of Charnwood Forest and the Peak District.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb38d89fc819086709fd3607b835f |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ac669cc819083e05620b1e8c370 |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:23 a.m.