Triple
T14645079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Thompson |
E343824
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Bill Thompson |
unclear NED1
|
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: Bill Thompson | Statement: [Bill Thompson, name, Bill Thompson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Thompson Context triple: [Bill Thompson, name, Bill Thompson]
-
A.
Bill Thompson
Bill Thompson was an American voice actor best known for his work in classic Disney animated films and radio, including roles in "Alice in Wonderland."
-
B.
Ray Thompson
Ray Thompson is a person known primarily as a relative of Stephen Thompson.
-
C.
Al Thompson
Al Thompson is an American actor known for supporting roles in films and television, including the teen comedy "Love Don't Cost a Thing."
-
D.
Don Thompson
Don Thompson is an actor known for his role in the horror-comedy film "Slither."
-
E.
William C. Thompson Jr.
William C. Thompson Jr. is an American politician and attorney who served as New York City Comptroller and was the Democratic nominee for mayor in 2009.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4ea6d8481908e6331ca173c646b |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe729f894881908647da558bef1031 |
completed | May 8, 2026, 11:32 p.m. |
Created at: April 10, 2026, 1:26 a.m.