Triple
T33977616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim O’Connor |
E871183
|
entity |
| Predicate | formerClassmateOf |
P201364
|
FINISHED |
| Object | Tom Wingfield |
—
|
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: Tom Wingfield | Statement: [Jim O’Connor, formerClassmateOf, Tom Wingfield]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerClassmateOf Context triple: [Jim O’Connor, formerClassmateOf, Tom Wingfield]
-
A.
formerFriend
Indicates that two entities were once friends but are no longer in a friendship relationship.
-
B.
formerColleagueOf
Indicates that two entities once worked together as colleagues in the past but no longer do so.
-
C.
childhoodFriend
Indicates that two people were close friends during their childhood period.
-
D.
oneOfFewFriendlyClassmatesOf
Indicates that the subject is among a small number of classmates who are friendly toward the object.
-
E.
classmates
Indicates that two or more people attend the same class or course together, sharing a common educational setting.
- 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_69f3499da0188190ab1a4ff06fb06a2a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ffed8912488190baa05f572e5b1b89 |
completed | May 10, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69ffed12a76c8190ad85c6ac869c72e9 |
completed | May 10, 2026, 2:27 a.m. |
| PDg | Predicate description generation | batch_69ffed884b908190b12422c790b1525e |
completed | May 10, 2026, 2:29 a.m. |
Created at: May 1, 2026, 1:50 a.m.