Triple
T18888201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Hudson |
E462012
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Bill Hudson |
E462012
|
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 Hudson | Statement: [Bill Hudson, name, Bill Hudson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Hudson Context triple: [Bill Hudson, name, Bill Hudson]
-
A.
Bill Hudson
chosen
Bill Hudson is an American musician and actor best known as a member of the Hudson Brothers pop group and for his high-profile marriages to actresses Goldie Hawn and Cindy Williams.
-
B.
Paul Huston
Paul Huston, better known by his stage name The Grym Reaper, is a hip-hop producer and DJ recognized for his work in the underground rap scene.
-
C.
Howard Waldrop
Howard Waldrop was an American science fiction and fantasy author known for his eccentric, allusion-rich short stories and alternate history tales.
-
D.
Harry Antrim
Harry Antrim was an American character actor known for his supporting roles in mid-20th-century films and television.
-
E.
Ed Hartnett
Ed Hartnett is an American software developer best known as the creator and primary maintainer of the NetCDF-4 library widely used in scientific computing and data analysis.
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c478d8c481909291e7c471e5095a |
completed | April 20, 2026, 6:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a059fb10fd081909612903d9b707e08 |
completed | May 14, 2026, 10:10 a.m. |
Created at: April 10, 2026, 11:58 a.m.