Triple
T18147697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angels |
E434429
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Guy Chambers |
—
|
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: Guy Chambers | Statement: [Angels, writer, Guy Chambers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guy Chambers Context triple: [Angels, writer, Guy Chambers]
-
A.
Guy Chambers
chosen
Guy Chambers is a British songwriter, musician, and producer best known for co-writing many of Robbie Williams' biggest hits.
-
B.
Jake Chambers
Jake Chambers is a pivotal young boy with psychic abilities who becomes one of Roland Deschain’s closest companions on the quest for the Dark Tower.
-
C.
Quentin Jacobsen
Quentin Jacobsen is the introspective teenage protagonist of John Green’s novel "Paper Towns," whose search for his enigmatic neighbor Margo Roth Spiegelman drives the story’s coming-of-age journey.
-
D.
Tom Rowe
Tom Rowe is a writer best known for contributing to the story of Disney’s animated film "The Aristocats."
-
E.
Lucas Beauchamp
Lucas Beauchamp is a proud, defiant Black farmer and central character in William Faulkner’s fiction, most notably in the novel "Go Down, Moses."
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de360ae88190abe1ed13243e9924 |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.