Triple
T11693502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lew Fields |
E277928
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Joe Weber |
E949869
|
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: Joe Weber | Statement: [Lew Fields, collaboratedWith, Joe Weber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Weber Context triple: [Lew Fields, collaboratedWith, Joe Weber]
-
A.
Joe Weber
Joe Weber is the main character in the 1987 horror film "A Return to Salem's Lot," a cynical anthropologist who returns to his hometown and uncovers a community of vampires.
-
B.
Joe Weber
chosen
Joe Weber was an American vaudeville and Broadway comedian best known as one half of the famous comedy duo Weber and Fields.
-
C.
John Weiss
John Weiss is a relatively obscure individual whose specific notability is not clearly established from the given information.
-
D.
John Masius
John Masius is an American television writer and producer best known for creating and writing several popular drama series, including the spiritual drama "Touched by an Angel."
-
E.
Thomas Weber
Thomas Weber is a relatively common personal name shared by multiple individuals across various professions, including academics, athletes, and public figures.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a47b9eb48190976a35e91e25b56b |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f280c4d8f4819094f3ebf67f4584a5 |
completed | April 29, 2026, 10:05 p.m. |
Created at: April 8, 2026, 9:40 p.m.