Triple
T17166856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthrax |
E416630
|
entity |
| Predicate | pastMember |
P1168
|
FINISHED |
| Object | Dave Weiss |
E353717
|
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: Dave Weiss | Statement: [Anthrax, pastMember, Dave Weiss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dave Weiss Context triple: [Anthrax, pastMember, Dave Weiss]
-
A.
Eric Weiss
Eric Weiss is an actor known for his role in the film adaptation of the young adult novel "Alan & Naomi."
-
B.
Eric Weiss
Eric Weiss is a loyal and resourceful CIA agent and close friend of the protagonist in the television series "Alias."
-
C.
Andrew Weiss
Andrew Weiss is a notable individual whose specific prominence or field of recognition is not clearly identifiable from the given information alone.
-
D.
David Weiss
chosen
David Weiss is a common personal name shared by multiple notable individuals across fields such as law, music, and literature.
-
E.
Eric Weissberg
Eric Weissberg was an American bluegrass musician and banjo virtuoso best known for his iconic performance of "Dueling Banjos" featured in the film Deliverance.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f915622c8190a6dff0baf0288a62 |
completed | April 18, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01483d754c819089607cfc87d08d42 |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:37 a.m.