Triple
T26809204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maggie the Cat |
E671936
|
entity |
| Predicate | notablePortrayalInFilm |
P143408
|
FINISHED |
| Object | Elizabeth Taylor |
—
|
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: Elizabeth Taylor | Statement: [Maggie the Cat, notablePortrayalInFilm, Elizabeth Taylor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notablePortrayalInFilm Context triple: [Maggie the Cat, notablePortrayalInFilm, Elizabeth Taylor]
-
A.
notableCharacterPortrayal
chosen
Indicates that an entity is recognized for its portrayal or depiction of a particular character, typically in a performance or narrative work.
-
B.
portraysNotableAct
Indicates that an entity depicts or represents a significant or noteworthy action performed by another entity.
-
C.
featuredInFilmBy
Indicates that an entity is prominently included or showcased within a film that is created, directed, or produced by a specified person or organization.
-
D.
notableAppearanceIn
Indicates that an entity is prominently featured or plays a significant role in a particular work, event, or context.
-
E.
isPortrayedIn
Indicates that an entity is depicted or represented within a particular work, medium, or portrayal.
- 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_69eeb3225a3c8190aaf6746efeded2f3 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69ff2636e2bc8190bba91eff91431c6e |
completed | May 9, 2026, 12:19 p.m. |
| PD | Predicate disambiguation | batch_69ff25c65be48190868480d94e1c4e89 |
completed | May 9, 2026, 12:17 p.m. |
Created at: April 27, 2026, 4:28 a.m.