Triple
T20506404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Burger |
E503442
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Jeff |
—
|
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: Jeff | Statement: [Jeff Burger, hasGivenName, Jeff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Context triple: [Jeff Burger, hasGivenName, Jeff]
-
A.
Jeff
Jeff is a supporting gangster character in the British crime film "The Long Good Friday," involved in the criminal underworld surrounding London mob boss Harold Shand.
-
B.
Jeff
chosen
Jeff is a masculine given name commonly used in English-speaking countries, often as a short form of Jeffrey or Jefferson.
-
C.
Jeff
Jeff is a character who appears in the Doctor Who episode "The Eleventh Hour."
-
D.
Jeff
Jeff is a bespectacled boy genius and one of the main party members in the cult-classic RPG EarthBound, known for his gadgets and long-range attacks.
-
E.
Jay
Jay is the commonly used nickname of Jay Cutler, a former NFL quarterback best known for his tenure with the Chicago Bears.
- 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_69e0b4b1e52c8190894281cf7e3283ab |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69dc82dd0819085d64d65a1e72c70 |
completed | April 20, 2026, 9:42 p.m. |
Created at: April 16, 2026, 11:35 a.m.