Triple
T15191861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tim Soete |
E363031
|
entity |
| Predicate | hasBandmate |
P56197
|
FINISHED |
| Object | Tim Green |
E363029
|
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: Tim Green | Statement: [Tim Soete, hasBandmate, Tim Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Green Context triple: [Tim Soete, hasBandmate, Tim Green]
-
A.
Tim Green
chosen
Tim Green is an American musician and producer best known as a guitarist in the instrumental rock band The Fucking Champs and for his work in the underground rock scene.
-
B.
Tim Green
Tim Green is a researcher who co-authored the landmark 2021 Nature paper on AlphaFold, the deep learning system for highly accurate protein structure prediction.
-
C.
Timothy Green
Timothy Green is the magical, plant-like boy who mysteriously appears to a childless couple and transforms their lives in the fantasy film "The Odd Life of Timothy Green."
-
D.
Logan Green
Logan Green is an American entrepreneur best known as the co-founder and former CEO of the ride-sharing company Lyft.
-
E.
Adam Shepherd
Adam Shepherd was an early American settler and landowner after whom the city of Shepherdsville, Kentucky, was named.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067d55ac8190b7a7fce36e6ddf3c |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec8995bb08190bd7f0be0a0fcf1e7 |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:10 a.m.