Triple
T22193472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theodore Walter Rollins |
E548489
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Doxy |
—
|
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: Doxy | Statement: [Theodore Walter Rollins, notableWork, Doxy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doxy Context triple: [Theodore Walter Rollins, notableWork, Doxy]
-
A.
Doxy
chosen
Doxy is a jazz standard composed by tenor saxophonist Sonny Rollins and first recorded in 1954 with Miles Davis.
-
B.
Digger
Digger is the central character of the play "The Hasty Heart," around whom the story’s emotional and dramatic developments revolve.
-
C.
Digger
Digger was the nickname of Al Cervi, a Hall of Fame American professional basketball player and coach known for his tough, hard-nosed style of play in the early NBA.
-
D.
Dug
Dug is the lovable, talking golden retriever from Pixar's animated film "Up," known for his collar that translates his thoughts into speech and his enthusiastic, friendly personality.
-
E.
Jip
Jip is the loyal and sharp-eared dog companion of Doctor Dolittle in Hugh Lofting’s classic children’s book series.
- 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12ae552908190b38c3d765bcfb68a |
completed | April 28, 2026, 9:47 p.m. |
Created at: April 16, 2026, 8:35 p.m.