Triple
T12008663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cary-Hiroyuki Tagawa |
E285849
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Cary |
E899864
|
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: Cary | Statement: [Cary-Hiroyuki Tagawa, givenName, Cary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cary Context triple: [Cary-Hiroyuki Tagawa, givenName, Cary]
-
A.
Cary
Cary is a rapidly growing suburban town in North Carolina known for its high quality of life, proximity to major research universities, and role as a residential and tech hub within the Research Triangle region.
-
B.
Cary
chosen
Cary is a given name used as the middle name of Ann Cary Randolph, a member of the prominent Randolph family of early American history.
-
C.
Mooresville
Mooresville is a small town in central Indiana that functions as a suburban community within the greater Indianapolis metropolitan region.
-
D.
Roxboro
Roxboro is a former municipality on the Island of Montreal that later became part of the borough of Pierrefonds-Roxboro.
-
E.
Charlotte
Charlotte is a royal figure bearing the traditional title of Princess Royal, historically associated with the eldest daughter of the British monarch.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903d61a4c81909e6cb6500b61df94 |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48b1570208190a08c64e028f67d81 |
completed | May 1, 2026, 11:14 a.m. |
Created at: April 8, 2026, 9:46 p.m.