Triple
T18069332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Weiss |
E432380
|
entity |
| Predicate | isAmbiguousWith |
P2289
|
FINISHED |
| Object | William Weiss (athlete) |
—
|
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: William Weiss (athlete) | Statement: [William Weiss, isAmbiguousWith, William Weiss (athlete)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Weiss (athlete) Context triple: [William Weiss, isAmbiguousWith, William Weiss (athlete)]
-
A.
George David Weiss
George David Weiss was an American songwriter and arranger best known for co-writing enduring pop standards such as "What a Wonderful World" and "Can't Help Falling in Love."
-
B.
Sol Weiss
Sol Weiss was a music industry figure best known as the founder of the jazz and blues label Fantasy Records.
-
C.
William Weiss
chosen
William Weiss is a personal name shared by multiple individuals, including various professionals and public figures across different fields.
-
D.
Eric Weiss
Eric Weiss is a loyal and resourceful CIA agent and close friend of the protagonist in the television series "Alias."
-
E.
Eric Weiss
Eric Weiss is an actor known for his role in the film adaptation of the young adult novel "Alan & Naomi."
- 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.