Triple
T27186727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tigress |
E683352
|
entity |
| Predicate | youngerVersionVoiceActedBy |
P73842
|
FINISHED |
| Object | Tara Strong |
—
|
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: Tara Strong | Statement: [Tigress, youngerVersionVoiceActedBy, Tara Strong]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: youngerVersionVoiceActedBy Context triple: [Tigress, youngerVersionVoiceActedBy, Tara Strong]
-
A.
youngerVoiceActor
Indicates that one voice actor is younger in age than another voice actor.
-
B.
youngerVersionPortrayedBy
Indicates that one person portrays a younger version of another person, typically in a film, television show, or similar narrative work.
-
C.
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.
-
D.
portraysYoungerVersionOfCharacterFrom
Indicates that one character is depicted as a younger version of another character from a specified source.
-
E.
spokenBy
Indicates that a particular utterance, statement, or piece of speech is produced or said by a specific entity.
- 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_69eefad140408190b8586fdebcf9af46 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f62580d96c8190a958383f732a5b90 |
completed | May 2, 2026, 4:25 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 9:30 a.m.