Triple
T18664101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jane's Addiction |
E456280
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object | Eric Avery |
—
|
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: Eric Avery | Statement: [Jane's Addiction, member, Eric Avery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eric Avery Context triple: [Jane's Addiction, member, Eric Avery]
-
A.
Eric Avery
chosen
Eric Avery is an American bassist and songwriter best known as a founding member of the alternative rock band Jane's Addiction and later work with groups like Garbage and Nine Inch Nails.
-
B.
Avery Ryan
Avery Ryan is a fictional FBI cyberpsychologist and head of a specialized cybercrime division in the television series CSI: Cyber.
-
C.
Avery Tolar
Avery Tolar is a senior partner at the prestigious but corrupt law firm in John Grisham’s legal thriller "The Firm," portrayed as a mentor figure who becomes entangled in the firm’s criminal activities.
-
D.
Val Avery
Val Avery was an American character actor known for his tough-guy roles in numerous films and television series from the 1950s through the 1990s.
-
E.
Kevin Avery
Kevin Avery is an American comedian, writer, and actor known for his stand-up work and for writing on shows such as "Last Week Tonight with John Oliver."
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5508d2d588190a468bd7b205d2057 |
completed | April 19, 2026, 10 p.m. |
Created at: April 10, 2026, 11:48 a.m.