Triple
T8478776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chauncey Forward |
E200460
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Chauncey |
E140604
|
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: Chauncey | Statement: [Chauncey Forward, givenName, Chauncey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chauncey Context triple: [Chauncey Forward, givenName, Chauncey]
-
A.
Chauncey
chosen
Chauncey is a masculine given name most famously borne by former NBA player and coach Chauncey Billups.
-
B.
Chauncey
Chauncey is a small village located in Athens County in the southeastern region of Ohio, United States.
-
C.
Chauncey Rivers
Chauncey Rivers is an American football defensive end known for his college career at Mississippi State and his time in the NFL, including with the Green Bay Packers.
-
D.
Chauncey Hannibal
Chauncey Hannibal is an American R&B singer and songwriter best known as a member of the 1990s vocal group Blackstreet.
-
E.
Chauncey Goss
Chauncey Goss is an American public official and policy analyst known for his work in fiscal policy and water management in Florida.
- 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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5216d6481908e25a49bcc2e00cc |
completed | March 31, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a22d6e481908bdb0b9cc0df0113 |
completed | April 2, 2026, 9:42 a.m. |
Created at: March 30, 2026, 6:12 p.m.