Triple
T9754000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doc Hudson |
E236508
|
entity |
| Predicate | voiceActorRetiredRoleAfter |
P73842
|
FINISHED |
| Object | Cars (due to Paul Newman’s death) |
—
|
LITERAL 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: Cars (due to Paul Newman’s death) | Statement: [Doc Hudson, voiceActorRetiredRoleAfter, Cars (due to Paul Newman’s death)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voiceActorRetiredRoleAfter Context triple: [Doc Hudson, voiceActorRetiredRoleAfter, Cars (due to Paul Newman’s death)]
-
A.
previouslyVoicedBy
chosen
Indicates that one entity served as the voice actor for another entity at some earlier time, but no longer does so in the current context.
-
B.
voiceActingRole
Indicates that one entity performs the voice acting for a character or role in a work associated with the other entity.
-
C.
roleAfterRetirement
Indicates the position, function, or status an entity assumes after it has retired from its previous role or activity.
-
D.
voiceActingRoleIn
Indicates that an entity performs a voice acting role in a specified work or production.
-
E.
postPlayingRole
Indicates that an entity assumes or holds a particular role after a playing or performance event has taken place.
- F. None of above.
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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9fb01ad08190b2435fa505c622bc |
completed | April 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69cd03cc128c81908b84ef224f858b4e |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:24 p.m.