Triple
T22582568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sean Boswell |
E544602
|
entity |
| Predicate | hasFriend |
P8712
|
FINISHED |
| Object | Twinkie |
E544604
|
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: Twinkie | Statement: [Sean Boswell, hasFriend, Twinkie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Twinkie Context triple: [Sean Boswell, hasFriend, Twinkie]
-
A.
Twinkie
chosen
Twinkie is a hustling, street-smart high school student in The Fast and the Furious: Tokyo Drift who introduces the protagonist to Tokyo’s underground drift racing scene.
-
B.
Biscuit
Biscuit is the mascot of the Allen Americans, a professional minor league ice hockey team based in Allen, Texas.
-
C.
Toffen
Toffen is a small Swiss municipality in the canton of Bern, located in the Gürbetal valley near the city of Bern.
-
D.
Taffy
Taffy is a character featured in the film "On the Line."
-
E.
Kookie
Kookie is a popular, wisecracking young private detective and cultural icon from the classic American TV series "77 Sunset Strip."
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15ff26d6481908cc058f8c4b87e75 |
completed | April 29, 2026, 1:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b3d56621c81908af9a97ac77c15ba |
completed | May 18, 2026, 4:24 p.m. |
Created at: April 16, 2026, 8:53 p.m.