Triple
T5506812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Benchley |
E144459
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Christopher |
E220717
|
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: Christopher | Statement: [Christopher Benchley, givenName, Christopher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christopher Context triple: [Christopher Benchley, givenName, Christopher]
-
A.
Christopher
Christopher is the full given name of Chris Sununu, an American politician who has served as governor of New Hampshire.
-
B.
Christopher
Christopher is the first name of C.J. Ramone, the bassist who joined the pioneering punk rock band the Ramones in 1989.
-
C.
Christopher
chosen
Christopher is a common masculine given name of Greek origin, meaning "bearer of Christ."
-
D.
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.
-
E.
Robert
Robert is a common masculine given name of Germanic origin, widely used in English-speaking countries.
- 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_69c008f6b5048190a09064116062cf69 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f47d2dc8190ad874be6902d8a4c |
completed | March 22, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027bc39208190baa01feadb75d3c6 |
completed | March 22, 2026, 5:32 p.m. |
Created at: March 22, 2026, 3:32 p.m.