Triple
T23306893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angelina Johnson |
E590469
|
entity |
| Predicate | attendedClassWith |
P141550
|
FINISHED |
| Object | Fred Weasley |
—
|
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: Fred Weasley | Statement: [Angelina Johnson, attendedClassWith, Fred Weasley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attendedClassWith Context triple: [Angelina Johnson, attendedClassWith, Fred Weasley]
-
A.
attendsClassWith
chosen
Indicates that two or more individuals are present in and participate in the same class session together.
-
B.
hadClass
Indicates that an entity attended or participated in a particular class or course.
-
C.
hasAttended
Indicates that an entity has been present at or participated in a particular event, place, or gathering.
-
D.
laterAttends
Indicates that one entity attends an event or place at a time later than another referenced attendance.
-
E.
attendanceAnnounced
Indicates that an official statement has been made about whether and/or how many people will attend an event.
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1972846fc819092ca2b9590b2e177 |
completed | April 29, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69effcf325f88190b320268c3c551abb |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 5:05 p.m.