Triple
T22573634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tim Streeto |
E544335
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Baxter |
—
|
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: The Baxter | Statement: [Tim Streeto, notableWork, The Baxter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Baxter Context triple: [Tim Streeto, notableWork, The Baxter]
-
A.
The Baxter
chosen
The Baxter is a 2005 romantic comedy film that parodies traditional love-triangle tropes by focusing on the jilted "nice guy" usually left behind in such stories.
-
B.
The Barker
The Barker is the English title of the 1930 French film "Le Bonimenteur," a comedy about a fast-talking showman.
-
C.
The Barker
The Barker is a 1928 American part-talkie drama film notable as an early sound-era production featuring performances by Milton Sills and Douglas Fairbanks Jr.
-
D.
The Quigley
The Quigley is a notorious water obstacle course at the U.S. Marine Corps Officer Candidates School, known for its muddy trenches, submerged passages, and physically demanding conditions.
-
E.
The Peg
The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15fea683c81908fbf9f171eed3341 |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.