Triple
T10124321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | To Live and Die in L.A. |
E226173
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Debra Feuer |
E828975
|
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: Debra Feuer | Statement: [To Live and Die in L.A., castMember, Debra Feuer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Debra Feuer Context triple: [To Live and Die in L.A., castMember, Debra Feuer]
-
A.
Debra Feuer
chosen
Debra Feuer is an American actress known for her film and television roles in the 1970s and 1980s, including appearances in "To Live and Die in L.A." and "Homeboy."
-
B.
Debra L. Sandler
Debra L. Sandler is a business executive known for her leadership roles in the consumer goods and food industries, including senior positions at major multinational companies.
-
C.
Debra Frisch
Debra Frisch is an American former psychology professor and blogger best known for a high-profile online harassment case involving a political commentator.
-
D.
Roberta Seidman
Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
-
E.
Shari Weiser
Shari Weiser is a puppeteer and performer best known for physically portraying the character Hoggle in Jim Henson’s fantasy film "Labyrinth."
- 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_69ca843057b48190a86730167f5d6b98 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd2ebe4548190a484c145639d92f0 |
completed | April 2, 2026, 2:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6a7bbfdb0819080377d3402bcfec3 |
completed | April 8, 2026, 7:08 p.m. |
Created at: March 30, 2026, 9:05 p.m.