Triple
T14258797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Women of the House |
E353455
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object | Delta Burke |
E1089770
|
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: Delta Burke | Statement: [Women of the House, leadActor, Delta Burke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delta Burke Context triple: [Women of the House, leadActor, Delta Burke]
-
A.
Delta Burke
chosen
Delta Burke is an American actress and producer best known for her Emmy-nominated role as Suzanne Sugarbaker on the sitcom "Designing Women."
-
B.
Tamdan McCrory
Tamdan McCrory is an American mixed martial artist known for competing in the UFC’s welterweight and middleweight divisions.
-
C.
Tiffany Burress
Tiffany Burress is best known as the wife of former NFL wide receiver Plaxico Burress.
-
D.
Holly Burrell
Holly Burrell is a professional chef and the wife of actor Ty Burrell, known for largely staying out of the spotlight while supporting his career and their family.
-
E.
Rena Haley
Rena Haley is the daughter of former South Carolina governor and U.S. ambassador to the United Nations Nikki Haley.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6352611c819090d062fe3079cd03 |
completed | April 14, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d150b188190a0858ab94f81d9a8 |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:09 a.m.