Triple
T20289219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip Davis |
E509972
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Davis |
—
|
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: Davis | Statement: [Philip Davis, familyName, Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Davis Context triple: [Philip Davis, familyName, Davis]
-
A.
Davis
Davis is an underground rapid transit station in Somerville, Massachusetts, on Boston’s MBTA Red Line.
-
B.
Davis
Davis is the individual or party who served as the respondent in the U.S. Supreme Court case Steward Machine Co. v. Davis, which addressed the constitutionality of certain New Deal-era federal taxation and social welfare provisions.
-
C.
Davis
chosen
Davis is a common English-language surname of Scottish and Welsh origin, often meaning "son of David."
-
D.
Davis
Davis is a Chicago Transit Authority 'L' station on the Purple Line serving downtown Evanston, Illinois.
-
E.
Davis
Davis is a small Northern California city known for hosting the University of California, Davis and for its strong emphasis on education, agriculture, and bicycle-friendly urban planning.
- 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e67694d50881909d59c1037295c1d0 |
completed | April 20, 2026, 6:55 p.m. |
Created at: April 16, 2026, 11:10 a.m.