Triple
T22354273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Point Place High School |
E552610
|
entity |
| Predicate | studentCharacter |
P119459
|
FINISHED |
| Object | Michael Kelso |
—
|
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: Michael Kelso | Statement: [Point Place High School, studentCharacter, Michael Kelso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Kelso Context triple: [Point Place High School, studentCharacter, Michael Kelso]
-
A.
Michael Kelso
chosen
Michael Kelso is a dim-witted yet charming and good-looking teenager portrayed by Ashton Kutcher on the sitcom "That '70s Show."
-
B.
Mike Walsh
Mike Walsh is a common name shared by multiple individuals, including professionals in fields such as sports, politics, and entertainment.
-
C.
Roger Donley
Roger Donley is a film editor known for his work on the animated feature "Snoopy, Come Home."
-
D.
Alan Osbiston
Alan Osbiston was a British film editor known for his work on notable mid-20th-century films, including major war and drama productions.
-
E.
Phil Cunningham
Phil Cunningham is an English guitarist and keyboardist best known for his work with the band New Order and previously with Marion.
- 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157ceb2308190941f6507e605a612 |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 16, 2026, 8:44 p.m.