Triple
T36054498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Potter's wand |
E1042905
|
entity |
| Predicate | repairedByUser |
P14270
|
FINISHED |
| Object | Harry Potter |
—
|
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: Harry Potter | Statement: [Harry Potter's wand, repairedByUser, Harry Potter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: repairedByUser Context triple: [Harry Potter's wand, repairedByUser, Harry Potter]
-
A.
repairedIn
Indicates that an item or object underwent repair within a specified location or during a particular time period.
-
B.
usedToFix
Indicates that one entity serves as a tool, method, or resource employed to repair, correct, or resolve a problem or defect in another entity.
-
C.
isRepairable
Indicates that an entity can be restored to proper working condition through repair.
-
D.
fixedBy
chosen
Indicates that one entity is repaired, corrected, or resolved through the action or intervention of another entity.
-
E.
restoredBy
Indicates that an entity has been returned to a previous or improved state through the actions or intervention of another entity.
- 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_69f76e2f09448190b0486d5ecad5e243 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b2c771108190adeec151daad5dab |
completed | May 3, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.