Triple
T22534223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xero |
E557115
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Brad Delson |
—
|
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: Brad Delson | Statement: [Xero, hasMember, Brad Delson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brad Delson Context triple: [Xero, hasMember, Brad Delson]
-
A.
Brad Delson
chosen
Brad Delson is the lead guitarist and a founding member of the American rock band Linkin Park, known for his distinctive, effects-driven playing style.
-
B.
Brad Nessler
Brad Nessler is an American sportscaster best known for his play-by-play commentary on major college football and basketball broadcasts.
-
C.
Scott Dolson
Scott Dolson is the athletic director at Indiana University, overseeing the Hoosiers’ athletic programs and their strategic direction.
-
D.
Roger Berlind
Roger Berlind was a prominent American theatrical producer and financier known for backing numerous successful Broadway plays and musicals.
-
E.
David Blitzer
David Blitzer is an American private equity investor and sports team owner known for his stakes in multiple professional franchises across basketball, hockey, soccer, and other leagues.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed952f48190b63225e7de131679 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 16, 2026, 8:51 p.m.