Triple
T5077243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jody |
E114427
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Jodee |
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: Jodee | Statement: [Jody, hasSpellingVariant, Jodee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jodee Context triple: [Jody, hasSpellingVariant, Jodee]
-
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.
Jeni
Jeni is a common shortened form or nickname for the given name Jennifer.
-
C.
Jeanie
Jeanie is a female given name, often used as a diminutive of Jean or Jeanne.
-
D.
Judy
"Judy" is a 2019 biographical drama film in which Renée Zellweger portrays legendary entertainer Judy Garland during her final years, a role that earned her widespread acclaim and major acting awards.
-
E.
Judy
Judy is a character in the 2014 British apocalyptic comedy film "The Second Coming."
- 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74f632788190ac4fd047e1a20485 |
completed | March 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee06486c481908e11dc53875ee31b |
completed | March 21, 2026, 6:16 p.m. |
Created at: March 20, 2026, 1:39 p.m.