Triple
T18069326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Weiss |
E432380
|
entity |
| Predicate | isAmbiguousWith |
P2289
|
FINISHED |
| Object | Will Weiss |
—
|
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: Will Weiss | Statement: [William Weiss, isAmbiguousWith, Will Weiss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will Weiss Context triple: [William Weiss, isAmbiguousWith, Will Weiss]
-
A.
William Weiss
chosen
William Weiss is a personal name shared by multiple individuals, including various professionals and public figures across different fields.
-
B.
John Weiss
John Weiss is a relatively obscure individual whose specific notability is not clearly established from the given information.
-
C.
Eric Weiss
Eric Weiss is a loyal and resourceful CIA agent and close friend of the protagonist in the television series "Alias."
-
D.
Eric Weiss
Eric Weiss is an actor known for his role in the film adaptation of the young adult novel "Alan & Naomi."
-
E.
Rob Weiss
Rob Weiss is an American television and film producer, writer, and director best known for his work on the HBO series "Entourage."
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ccebff748190b41d2edd93994c67 |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.