Triple
T7950444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiffany Warren |
E184599
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Maia Campbell |
E710920
|
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: Maia Campbell | Statement: [Tiffany Warren, portrayedBy, Maia Campbell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maia Campbell Context triple: [Tiffany Warren, portrayedBy, Maia Campbell]
-
A.
Maia Campbell
chosen
Maia Campbell is an American actress best known for her role as Tiffany Warren on the 1990s sitcom "In the House."
-
B.
Maia Wilson
Maia Wilson is an American singer and actress best known for her work in musical theatre and as a voice performer in film and television.
-
C.
Meagen Fay
Meagen Fay is an American actress best known for her character roles in television comedies and dramas, including prominent work in sketch and ensemble series.
-
D.
Hayley McFarland
Hayley McFarland is an American actress best known for her roles in horror and drama projects, including a supporting role in the film "The Conjuring" and appearances on television series such as "Lie to Me."
-
E.
Mia Morgan
Mia Morgan is a central character in the romantic comedy-drama film "The Best Man," around whom much of the story’s interpersonal conflict and emotional tension revolves.
- 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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b5b7450819091e4e6f21e9d832d |
completed | March 31, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbdf7679881909a14c4786c8e3e76 |
completed | April 1, 2026, 6:40 a.m. |
Created at: March 30, 2026, 5:10 p.m.