Triple
T14982292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calista Flockhart |
E373607
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object | Cat Grant |
E965827
|
NE 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: Cat Grant | Statement: [Calista Flockhart, characterPortrayed, Cat Grant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cat Grant Context triple: [Calista Flockhart, characterPortrayed, Cat Grant]
-
A.
Cat Grant
chosen
Cat Grant is a fictional gossip columnist and media personality in DC Comics, often depicted as a sharp-tongued reporter and occasional love interest of Clark Kent/Superman.
-
B.
Danielle Cage
Danielle Cage is a Marvel Comics character, the future daughter of superheroes Luke Cage and Jessica Jones who in some timelines becomes a powerful hero herself.
-
C.
Kate Grant
Kate Grant is a central character in the film "Nebraska," portrayed as the sharp-tongued, pragmatic wife of the aging protagonist.
-
D.
Katherine Bishop
Katherine Bishop is a fictional Marvel Comics character best known as the young archer hero Kate Bishop, who takes up the Hawkeye mantle.
-
E.
Jacqui Lopez
Jacqui Lopez is a film and television producer known for her work on the Star Wars franchise, including serving as an executive producer on the animated anthology series Star Wars: Visions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6fe42a081909308f788fdf024d5 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bef015c8190bdfb1b9144b2a55c |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:52 a.m.