Triple
T29889014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trapper John, M.D. |
E759096
|
entity |
| Predicate | characterFollowed |
P194942
|
FINISHED |
| Object | Trapper John McIntyre |
—
|
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 | Statement: [Trapper John, M.D., characterFollowed, Trapper John McIntyre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterFollowed Context triple: [Trapper John, M.D., characterFollowed, Trapper John McIntyre]
-
A.
followsCharacter
Indicates that one character moves or acts after another character, maintaining a trailing or subsequent position or sequence relative to them.
-
B.
followsCharacterWhoIs
Indicates that one character consistently trails, pursues, or comes after another character who has a specified property or role.
-
C.
followsCharacterFrom
Indicates that one character moves or proceeds behind another character, maintaining a trailing or pursuing position relative to them.
-
D.
followsCharacterThrough
Indicates that one entity persistently tracks or accompanies a specific character along their path, perspective, or progression.
-
E.
followsCharacterTo
Indicates that one character moves after or in pursuit of another character to a particular location or destination.
- F. None of above. chosen
Provenance (4 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_69f2245de2f48190a481404896b56254 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fd91a5dad8819093eeeef527027890 |
completed | May 8, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69fd8f65fe9081908902500a3228d935 |
completed | May 8, 2026, 7:23 a.m. |
| PDg | Predicate description generation | batch_69fd91a44268819081b372296e3aa116 |
completed | May 8, 2026, 7:32 a.m. |
Created at: April 29, 2026, 6:01 p.m.