Triple
T3250249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Starks |
E68159
|
entity |
| Predicate | alsoKnownAs |
P39
|
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 Starks, alsoKnownAs, Jody]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jody Context triple: [Joe Starks, alsoKnownAs, 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.
Jenny
Jenny is a caring and protective regal blue tang fish who is Dory’s mother in the animated film "Finding Dory."
-
C.
Jenny
"Jenny" is a narrative poem by Dante Gabriel Rossetti that explores themes of desire, morality, and Victorian attitudes toward prostitution through a reflective monologue addressed to a fallen woman.
-
D.
Jayme
Jayme is a given name, typically a variant spelling of Jamie, used for people of any gender.
-
E.
Jody Baxter
Jody Baxter is the young boy protagonist of the classic American coming-of-age story "The Yearling," who forms a deep bond with an orphaned fawn in rural Florida.
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf40f7908190a450c3136fccb020 |
completed | March 8, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2776934108190ac405ba5ebd47084 |
completed | March 12, 2026, 8:20 a.m. |
Created at: March 8, 2026, 3:09 p.m.