Triple
T10527484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lopez vs Lopez |
E248343
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Debby Wolfe |
E908247
|
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: Debby Wolfe | Statement: [Lopez vs Lopez, executiveProducer, Debby Wolfe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Debby Wolfe Context triple: [Lopez vs Lopez, executiveProducer, Debby Wolfe]
-
A.
Debby Wolfe
chosen
Debby Wolfe is a television writer and producer best known for creating the NBC sitcom "Lopez vs Lopez" and her work on various comedy series.
-
B.
Debra Humphries
Debra Humphries is the mother of former NBA player Kris Humphries.
-
C.
Debbie Meadows
Debbie Meadows is an American political figure and businesswoman best known as the wife of former White House Chief of Staff and congressman Mark Meadows.
-
D.
Debra Wilson
Debra Wilson is an American actress and comedian best known for her groundbreaking work on the sketch comedy series MADtv and her extensive voice acting in animation and video games.
-
E.
Debby Bishop
Debby Bishop is a British actress best known for her work in film and television during the 1980s, including a role in the cult biographical drama "Sid and Nancy."
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509f5ec348190875c8c877e70ba4a |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e6968aec8190a9d1e51ac7e87853 |
completed | April 21, 2026, 2:53 a.m. |
Created at: April 6, 2026, 12:29 p.m.