Triple
T16847249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Cooney |
E409575
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Genius |
E1108703
|
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: Genius | Statement: [Jeff Cooney, notableWork, Genius]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Genius Context triple: [Jeff Cooney, notableWork, Genius]
-
A.
Genius
Genius is a Roman tutelary spirit believed to guide and protect individuals, families, places, or institutions as their personal divine essence.
-
B.
Genius
Genius is Booking.com's customer loyalty program that offers members benefits such as discounted rates and travel perks on eligible bookings.
-
C.
Genius
Genius is a musical artist known for performing the track "Cold World."
-
D.
Genius
Genius is the allegorical priest of love who serves as the confessor and moral commentator in John Gower’s Middle English poem "The Lover’s Confession."
-
E.
Genius
chosen
Genius is a popular online platform best known for its extensive collection of song lyrics and user- and artist-annotated music commentary.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b354eaf081908fe6f84a330d7866 |
completed | April 18, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2a4c2a881908d2797f6e61792d3 |
completed | May 10, 2026, 5:38 p.m. |
Created at: April 10, 2026, 5:24 a.m.