Triple
T22002348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cordell Walker |
E543361
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Christopher Canaan |
—
|
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: Christopher Canaan | Statement: [Cordell Walker, creator, Christopher Canaan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christopher Canaan Context triple: [Cordell Walker, creator, Christopher Canaan]
-
A.
Christopher Canaan
chosen
Christopher Canaan is an American television writer and producer best known for co-creating the action crime series "Walker, Texas Ranger."
-
B.
Charles Boustany
Charles Boustany is an American politician and former Republican U.S. Representative from Louisiana.
-
C.
Avi Tuschman
Avi Tuschman is a political scientist and author known for his work on the evolutionary origins of political ideology and contributions to popular science and policy discussions.
-
D.
Jeremiah S. Chechik
Jeremiah S. Chechik is a Canadian film and television director best known for helming the popular holiday comedy "National Lampoon’s Christmas Vacation."
-
E.
Daniel Sackheim
Daniel Sackheim is an American television director and producer known for his work on acclaimed series such as The X-Files, NYPD Blue, and Game of Thrones.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1276bf2a48190910d9c27f1c5e74f |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 16, 2026, 8:20 p.m.