Triple
T9735543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Food, Inc. |
E236047
|
entity |
| Predicate | narrator |
P2181
|
FINISHED |
| Object | Michael Pollan |
E818634
|
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: Michael Pollan | Statement: [Food, Inc., narrator, Michael Pollan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Pollan Context triple: [Food, Inc., narrator, Michael Pollan]
-
A.
Michael Pollan
chosen
Michael Pollan is an American author, journalist, and professor best known for his influential books and commentary on food, agriculture, and the ethics of eating.
-
B.
David Perlmutter
David Perlmutter is an American linguist known for his influential work in generative grammar and for co-developing Relational Grammar.
-
C.
Amy Stewart
Amy Stewart is an actress known for her role in the 1997 film "Trucks," an adaptation of Stephen King's short story about killer vehicles.
-
D.
Eric Schlosser
Eric Schlosser is an American investigative journalist and author best known for his critical examinations of the fast food industry and industrial food production, including the book "Fast Food Nation."
-
E.
Susan Orlean
Susan Orlean is an American journalist and author best known for her narrative nonfiction works such as "The Orchid Thief," which inspired the film "Adaptation."
- 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_69ca84d313e88190983ee6ffd0ef60d2 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eee70d48190af5a833d7b33aaa5 |
completed | April 1, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bccbb6988190a3733c97d520be67 |
completed | April 5, 2026, 1:37 a.m. |
Created at: March 30, 2026, 8:22 p.m.