Triple
T32069787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of England (Cars) |
E818976
|
entity |
| Predicate | uncreditedVoiceInspiration |
P173183
|
FINISHED |
| Object | Queen Elizabeth II |
—
|
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: Queen Elizabeth II | Statement: [Queen of England (Cars), uncreditedVoiceInspiration, Queen Elizabeth II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: uncreditedVoiceInspiration Context triple: [Queen of England (Cars), uncreditedVoiceInspiration, Queen Elizabeth II]
-
A.
hasVoiceActing
Indicates that one entity provides voice performance for a character, role, or work associated with another entity.
-
B.
voiceCharacter
Indicates that one entity provides the voice for, or vocally portrays, a particular character in a work.
-
C.
voiceActingDebut
Indicates the event or work in which a person first performed as a voice actor.
-
D.
hasVoices
Indicates that an entity possesses or includes one or more vocal parts, voice tracks, or spoken/sung voice elements.
-
E.
hasVoiceIn
Indicates that an entity participates by providing a voice role or vocal performance in another entity, such as a work, production, or recording.
- F. None of above. chosen
Provenance (4 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_69f348fecc088190af1470afe5a969f0 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b526352081909d71322d026fbac5 |
completed | May 3, 2026, 2:38 a.m. |
| PD | Predicate disambiguation | batch_69f6b154b3dc819087115f5f63f7b00f |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b267b90c8190807208cadce5ae8d |
completed | May 3, 2026, 2:26 a.m. |
Created at: May 1, 2026, 12:23 a.m.