Triple
T16620621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abby Blodgett |
E403815
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Blodgett |
E91916
|
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: Blodgett | Statement: [Abby Blodgett, hasSurname, Blodgett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blodgett Context triple: [Abby Blodgett, hasSurname, Blodgett]
-
A.
Blodgett
chosen
Blodgett is a surname of English origin borne by various notable individuals across fields such as politics, business, and the arts.
-
B.
Dunnigan
Dunnigan is a small unincorporated community in Yolo County, California, known primarily as a rural agricultural area along Interstate 5.
-
C.
Roastmaster
Roastmaster is the nickname of comedian Jeffrey Ross, renowned for his sharp, insult-based comedy and frequent appearances at celebrity roasts.
-
D.
Griller
Griller is an EP by the punk rock band The Frustrators, known for its energetic, humorous take on pop-punk.
-
E.
Belasco
Belasco is a surname most notably associated with David Belasco, a prominent American theatrical producer, director, and playwright of the late 19th and early 20th centuries.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754d6b4c81908eab5210c386ea15 |
completed | April 18, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007db27f788190a3c57b7ea8a8a9c6 |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:17 a.m.