Triple
T9045654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George |
E216747
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Jory |
E347364
|
NE FINISHED |
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: Jory | Statement: [George, hasDiminutive, Jory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jory Context triple: [George, hasDiminutive, Jory]
-
A.
Jory
chosen
Jory is a fictional character appearing in Émile Zola’s novel "L’Œuvre," part of his Rougon-Macquart series exploring art, ambition, and society in 19th-century France.
-
B.
Jory
Jory is a surname most notably associated with Victor Jory, a Canadian-born American actor known for his distinctive voice and frequent roles as a villain in mid-20th-century film and television.
-
C.
Jody
Jody is a given name used for people of any gender, often as a diminutive of names like Joseph or Judith.
-
D.
Jared
Jared is the given name of Jared Diamond, an American geographer, historian, and author best known for his Pulitzer Prize–winning book "Guns, Germs, and Steel."
-
E.
Jared
Jared is a village located in Pakistan’s scenic Kaghan Valley, known for its mountainous landscapes and tourism.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83d22d488190adbce5e020e9cd1d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b148b188190814d64acae493634 |
completed | April 1, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfebada5948190add8813ba547647f |
completed | April 3, 2026, 4:32 p.m. |
Created at: March 30, 2026, 7:09 p.m.