Triple
T6309627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacky Fisher |
E141466
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Jacky |
E87592
|
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: Jacky | Statement: [Jacky Fisher, nickname, Jacky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jacky Context triple: [Jacky Fisher, nickname, Jacky]
-
A.
Jacky Bast
Jacky Bast is a member of the Bast family, a fictional working-class character from E.M. Forster’s novel "Howards End."
-
B.
Jackie Framm
Jackie Framm is a supporting character in the "Air Bud" film series, known as the caring mother of the young protagonist who befriends the basketball-playing dog.
-
C.
Rikki Jai
Rikki Jai is a prominent Trinidadian singer known for helping popularize chutney and chutney-soca music in the Caribbean.
-
D.
Jackie
chosen
Jackie is a given name, often used as a diminutive or variant of names like Jack, Jacqueline, or John.
-
E.
Jackie
Jackie is a biographical drama film in which Natalie Portman portrays Jacqueline Kennedy in the aftermath of President John F. Kennedy’s assassination.
- 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_69c008d00efc8190a36c05b4b4a3bf4b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0647f13a4819095c4ce8c42c5d1fb |
completed | March 22, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e45a924081909a1190ce2987b16d |
completed | March 27, 2026, 1:58 a.m. |
Created at: March 22, 2026, 4:28 p.m.