Triple
T27113131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peg-Leg Pete |
E686764
|
entity |
| Predicate | oftenVoicedInEnglishBy |
P83203
|
FINISHED |
| Object | Jim Cummings |
—
|
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: Jim Cummings | Statement: [Peg-Leg Pete, oftenVoicedInEnglishBy, Jim Cummings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenVoicedInEnglishBy Context triple: [Peg-Leg Pete, oftenVoicedInEnglishBy, Jim Cummings]
-
A.
hasVoiceActing
chosen
Indicates that one entity provides voice performance for a character, role, or work associated with another entity.
-
B.
speaksInFilm
Indicates that a person or character provides spoken dialogue or voice work within a particular film.
-
C.
currentlySpokenBy
Indicates that a language is presently being used as a spoken language by a person or group.
-
D.
isSpokenByMinority
Indicates that the language or dialect is used primarily by a numerically smaller or less dominant group within a larger population.
-
E.
isSpokenByPopulationIn
Indicates that a particular language is used as a spoken means of communication by the people living within a specified geographic region or population group.
- 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_69ef148accd48190b6ed6e13a15f2a4f |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 27, 2026, 8:55 a.m.