Triple
T14528148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bolt |
E340832
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Chris Williams |
E434775
|
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: Chris Williams | Statement: [Bolt, screenwriter, Chris Williams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Williams Context triple: [Bolt, screenwriter, Chris Williams]
-
A.
Chris Williams
Chris Williams is an American actor and comedian known for his roles in television series such as "Californication" and "Curb Your Enthusiasm."
-
B.
Chris Williams
chosen
Chris Williams is an American film director, screenwriter, and animator best known for his work on major Disney animated features such as Moana and Big Hero 6.
-
C.
Ed Williams
Ed Williams is an American character actor best known for his deadpan role as lab technician Ted Olson in the parody TV series "Police Squad!" and the subsequent "Naked Gun" films.
-
D.
Steve Williams
Steve Williams is a dim-witted yet overconfident park ranger and one of the central comedic protagonists in the animated television series "Brickleberry."
-
E.
Stephen Williams
Stephen Williams is a television and film director and producer known for his work on acclaimed series such as Watchmen and Lost.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea051bc608190ad4d516c5e7bca43 |
completed | April 14, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff218b93d48190a7e16c3934828aa8 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 1:22 a.m.