Triple
T20440366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Bauer |
E501371
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Christopher |
—
|
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 | Statement: [Chris Bauer, givenName, Christopher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christopher Context triple: [Chris Bauer, givenName, Christopher]
-
A.
Christopher
chosen
Christopher is a common masculine given name of Greek origin, meaning "bearer of Christ."
-
B.
Christopher
Christopher is a character in James Baldwin’s novel "Tell Me How Long the Train’s Been Gone," contributing to the book’s exploration of race, identity, and personal relationships in mid-20th-century America.
-
C.
Christopher
Christopher is the given first name of W. C. Handy, the influential American composer and musician often called the "Father of the Blues."
-
D.
Christopher
Christopher is the pseudonymous songwriter credited with writing the hit song "Manic Monday," famously performed by The Bangles.
-
E.
Christopher
Christopher is the first name of Chris Kirkpatrick, the American singer best known as a member of the boy band *NSYNC.
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685f20fe08190b9370b523a20153d |
completed | April 20, 2026, 8 p.m. |
Created at: April 16, 2026, 11:31 a.m.