Triple
T4989545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Sparks |
E112094
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sparks |
E268386
|
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: Sparks | Statement: [John Sparks, familyName, Sparks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sparks Context triple: [John Sparks, familyName, Sparks]
-
A.
Sparks
Sparks is a city in northern Nevada known for its proximity to Reno and its role as a regional hub for industry, transportation, and outdoor recreation.
-
B.
Sparks
chosen
Sparks is the surname of American singer and actress Jordin Sparks, best known as the winner of the sixth season of American Idol.
-
C.
Sparkle
Sparkle is a Georgia-Pacific paper towel brand known for its affordable, everyday household cleaning products.
-
D.
Sparkle
Sparkle is an American R&B singer best known for her late-1990s work and collaborations with R. Kelly, including the hit single "Be Careful."
-
E.
Kean
Kean is a stage musical about the life of 19th-century English actor Edmund Kean, known for its dramatic exploration of theatrical fame and personal turmoil.
- 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_69bd441be7bc8190b530362d427b97d2 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd727fe55881909d42e41b832b9ece |
completed | March 20, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a2496a48190a517c92b85834db9 |
completed | March 21, 2026, 12:08 p.m. |
Created at: March 20, 2026, 1:34 p.m.