Triple
T7562864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe |
E178835
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Jody |
E114427
|
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: Jody | Statement: [Joe, hasVariant, Jody]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jody Context triple: [Joe, hasVariant, Jody]
-
A.
Jody
chosen
Jody is a given name used for people of any gender, often as a diminutive of names like Joseph or Judith.
-
B.
Jory
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.
-
C.
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.
-
D.
Jenny
Jenny is a caring and protective regal blue tang fish who is Dory’s mother in the animated film "Finding Dory."
-
E.
Jenny
Jenny is a central character in Kurt Weill and Bertolt Brecht’s opera "Rise and Fall of the City of Mahagonny," often portrayed as a pragmatic, disillusioned prostitute who embodies the work’s critique of capitalist excess and moral decay.
- 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8f994a48190b8338654d6777654 |
completed | March 27, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856d42e988190a4b4982c0471d96d |
completed | March 28, 2026, 10:31 p.m. |
Created at: March 27, 2026, 3:50 p.m.