Triple
T36054335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gregorovitch |
E1042902
|
entity |
| Predicate | hadObjectStolenBy |
P48033
|
FINISHED |
| Object | Gellert Grindelwald |
—
|
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: Gellert Grindelwald | Statement: [Gregorovitch, hadObjectStolenBy, Gellert Grindelwald]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadObjectStolenBy Context triple: [Gregorovitch, hadObjectStolenBy, Gellert Grindelwald]
-
A.
stolenBy
chosen
Indicates that something has been taken unlawfully or without permission by a particular entity.
-
B.
stolenDuring
Indicates that one entity was stolen in the course of, or at the time of, another specified event or time period.
-
C.
wasLooted
Indicates that an entity was forcibly taken or plundered, typically during a theft, raid, or act of violence.
-
D.
stolenFrom
Indicates that something was taken unlawfully from a particular source or owner.
-
E.
stolenItems
Indicates that certain items have been taken without permission or legal right, typically as the result of theft.
- 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.