Triple
T33461492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John McIntyre (real-life surgeon) |
E856927
|
entity |
| Predicate | isRealPersonBehind |
P54368
|
FINISHED |
| Object | Trapper John McIntyre (M*A*S*H character) |
—
|
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: Trapper John McIntyre (M*A*S*H character) | Statement: [John McIntyre (real-life surgeon), isRealPersonBehind, Trapper John McIntyre (M*A*S*H character)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRealPersonBehind Context triple: [John McIntyre (real-life surgeon), isRealPersonBehind, Trapper John McIntyre (M*A*S*H character)]
-
A.
basedOnRealPersonFor
chosen
Indicates that one entity is created, modeled, or inspired using a specific real person as its basis.
-
B.
realPerson
Indicates that the referenced entity corresponds to an actual human individual, as opposed to a fictional, anonymous, or non-human entity.
-
C.
notARealPerson
Indicates that the referenced entity is fictional, artificial, or otherwise not an actual human being in reality.
-
D.
isBehind
Indicates that one entity is positioned to the rear of another entity along a relevant spatial or directional axis.
-
E.
hasFrontPerson
Indicates that an entity is represented, led, or fronted publicly by a specific person.
- F. None of above.
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_69f34973461481909c701c98ebd75623 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e4d3a60881908d5bbe01c55f796b |
completed | May 3, 2026, 6:01 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:37 a.m.