Triple
T20449108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cars That Ate Paris |
E501598
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Chris Haywood |
—
|
NE NERFINISHED |
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: Chris Haywood | Statement: [The Cars That Ate Paris, castMember, Chris Haywood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Haywood Context triple: [The Cars That Ate Paris, castMember, Chris Haywood]
-
A.
Chris Haywood
chosen
Chris Haywood is an Australian actor known for his extensive work in film, television, and theatre since the 1970s.
-
B.
Duncan Youngerman
Duncan Youngerman is the son of renowned French actress and feminist icon Delphine Seyrig.
-
C.
Chris Hartley
Chris Hartley is an individual known primarily in relation to Mike Munroe, though publicly available information about him is limited.
-
D.
Chris Hartley
Chris Hartley is a playable protagonist in the horror video game Until Dawn, known for his sarcastic personality and central role in the group’s struggle to survive a deadly night on Blackwood Mountain.
-
E.
Rod Hay
Rod Hay is a film editor known for his work on the 1969 Australian drama "The Intruders."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68cfffae4819086c727f4143c2737 |
completed | April 20, 2026, 8:30 p.m. |
Created at: April 16, 2026, 11:32 a.m.