Triple
T16022229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Weir |
E388629
|
entity |
| Predicate | friend |
P8712
|
FINISHED |
| Object | Neal Schweiber |
—
|
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: Neal Schweiber | Statement: [Sam Weir, friend, Neal Schweiber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neal Schweiber Context triple: [Sam Weir, friend, Neal Schweiber]
-
A.
Neal Schweiber
chosen
Neal Schweiber is a witty, fast-talking high school "geek" from the TV series Freaks and Geeks, known for his love of comedy, magic tricks, and awkward attempts at romance.
-
B.
Scott Einbinder
Scott Einbinder is a film producer best known for his work on the dark crime thriller "Killer Joe."
-
C.
Jed Schlanger
Jed Schlanger is a film producer best known for his work on the animated adventure feature "The Sea Beast."
-
D.
Ted Schlein
Ted Schlein is a prominent American venture capitalist and technology investor known for his long tenure at Kleiner Perkins and his focus on cybersecurity and enterprise software companies.
-
E.
Neal Weinberg
Neal Weinberg is an individual notable enough to be specifically cited as a bearer of the surname Weinberg, though widely recognized biographical or professional details about him are not well documented in major public sources.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18323fc0881908bab7126d9ccf67d |
completed | April 17, 2026, 12:47 a.m. |
Created at: April 10, 2026, 4:55 a.m.