Triple
T19572039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Road Trip |
E489740
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Debra Chiate |
—
|
NE NERFINISHED |
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 Chiate | Statement: [Road Trip, editor, Debra Chiate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Debra Chiate Context triple: [Road Trip, editor, Debra Chiate]
-
A.
Debra Chiate
chosen
Debra Chiate is a film editor best known for her work on the 1995 teen comedy "Clueless."
-
B.
Debra Pace
Debra Pace is an American education leader who has served as superintendent of the School District of Osceola County in Florida.
-
C.
Vickie Gioberti
Vickie Gioberti is a fictional character from the American prime-time soap opera "Falcon Crest," known as the daughter of Chase and Maggie Gioberti.
-
D.
Vickie Castro
Vickie Castro is a Chicana activist and educator known for her leadership role in the 1968 East Los Angeles student walkouts for educational reform.
-
E.
Brenda Vaccaro
Brenda Vaccaro is an American actress known for her distinctive husky voice and acclaimed performances in film, television, and theater since the 1960s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6402103208190b80acdfa82b7a9c4 |
completed | April 20, 2026, 3:02 p.m. |
Created at: April 10, 2026, 1:42 p.m.