Triple
T17826865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jann Haworth |
E445140
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jann |
—
|
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: Jann | Statement: [Jann Haworth, givenName, Jann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jann Context triple: [Jann Haworth, givenName, Jann]
-
A.
Jann
chosen
Jann is a given name most notably associated with Jann Wenner, the co-founder and longtime publisher of Rolling Stone magazine.
-
B.
Jani
Jani is a diminutive given name, often used as a familiar or affectionate form of longer names such as Janis or Jan.
-
C.
Jen
Jen is a common shortened form of the given name Jennifer, often used as a familiar or informal nickname.
-
D.
Jen
Jen is the young Gelfling hero and central protagonist of the fantasy film "The Dark Crystal," destined to restore balance to his world.
-
E.
Joner
"Joner" is a poetry collection by Swedish poet Katarina Frostenson, known for its dense, experimental language and exploration of identity and perception.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48914e20481908883d1da194f446c |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 10, 2026, 10:15 a.m.