Triple
T18888536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Room 222 |
E462020
|
entity |
| Predicate | protagonist |
P268
|
FINISHED |
| Object | Pete Dixon |
—
|
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: Pete Dixon | Statement: [Room 222, protagonist, Pete Dixon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pete Dixon Context triple: [Room 222, protagonist, Pete Dixon]
-
A.
Pete Dixon
chosen
Pete Dixon is the idealistic and compassionate African American history teacher at Walt Whitman High School in the television series "Room 222."
-
B.
Pete Durnell
Pete Durnell is a British politician who stood as a candidate in the 2017 West Midlands mayoral election.
-
C.
Pete Browning
Pete Browning was a 19th-century American baseball star and prolific hitter, best known as one of the era’s premier batsmen and the original inspiration for the Louisville Slugger bat.
-
D.
Don Dixon
Don Dixon is an American record producer, songwriter, and musician known for his influential work in the jangle pop and alternative rock scenes, including producing early albums by R.E.M. and other notable artists.
-
E.
Pete Parsons
Pete Parsons is a video game executive and former Bungie leader best known for his key production role on major titles such as Halo 2.
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c478d8c481909291e7c471e5095a |
completed | April 20, 2026, 6:15 a.m. |
Created at: April 10, 2026, 11:58 a.m.