Triple
T5069692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crimpshrine |
E114242
|
entity |
| Predicate | hasFormerMember |
P1168
|
FINISHED |
| Object | Idon Bryant |
E490674
|
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: Idon Bryant | Statement: [Crimpshrine, hasFormerMember, Idon Bryant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Idon Bryant Context triple: [Crimpshrine, hasFormerMember, Idon Bryant]
-
A.
Idon Bryant
chosen
Idon Bryant is a musician best known as a member of the influential Berkeley punk band Crimpshrine.
-
B.
Bryant
Bryant is a common English surname borne by numerous notable figures in American history, literature, sports, and public life.
-
C.
Bryant
Bryant is the middle name of James B. Conant, the influential American chemist, educator, and president of Harvard University.
-
D.
Troy Barnes
Troy Barnes is a lovable, goofy former high school football star turned pop-culture-obsessed nerd from the sitcom "Community," known for his close friendship with Abed and his energetic, childlike personality.
-
E.
Warrick Brown
Warrick Brown is a fictional crime scene investigator and forensic analyst on the television series "CSI: Crime Scene Investigation."
- 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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd749f47908190891ac8432c5b5615 |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb10bb740819099797240c9f35eb9 |
completed | March 21, 2026, 2:54 p.m. |
Created at: March 20, 2026, 1:39 p.m.