Triple
T21086852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buddy Jeannette |
E519512
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Jeannette |
—
|
NE NERFINISHED |
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: Jeannette | Statement: [Buddy Jeannette, familyName, Jeannette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeannette Context triple: [Buddy Jeannette, familyName, Jeannette]
-
A.
Jeannette
chosen
Jeannette is a surname most notably associated with Buddy Jeannette, a prominent American professional basketball player and coach.
-
B.
Jeannette
Jeannette is a feminine given name, typically considered a diminutive or variant of the name Jean or Jeanne.
-
C.
November Girl
November Girl is a 1967 photographic art book by Sam Haskins, known for its evocative black-and-white images blending fashion, portraiture, and surreal visual storytelling.
-
D.
L’Enfant
L’Enfant is the surname of Pierre Charles L’Enfant, the French-born American architect and civil engineer best known for designing the basic plan for Washington, D.C.
-
E.
L’Enfant
"L’Enfant" is a contemplative instrumental track by Greek composer Vangelis, featured on his 1979 electronic album *Opera Sauvage* and later known for its use in film and television.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7094be9388190b004fda23f301397 |
completed | April 21, 2026, 5:21 a.m. |
Created at: April 16, 2026, 2:50 p.m.