Triple
T5963862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanci Griffith |
E132704
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Griffith |
E424730
|
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: Griffith | Statement: [Nanci Griffith, familyName, Griffith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Griffith Context triple: [Nanci Griffith, familyName, Griffith]
-
A.
Griffith
chosen
Griffith is a surname of Welsh origin that has been borne by numerous notable individuals, including American actor and comedian Andy Griffith.
-
B.
Griffith
Griffith is a major regional city in New South Wales, Australia, known for its agricultural production, especially wine and citrus, and its culturally diverse community.
-
C.
Griffith
Griffith is a central, enigmatic antagonist in the dark fantasy manga and anime series "Berserk," known for his charismatic leadership of the Band of the Hawk and his tragic, transformative ambitions.
-
D.
Redfield
Redfield is a surname of English origin borne by various notable individuals across fields such as politics, science, and the arts.
-
E.
Blackwood
Blackwood is a town in south Wales known for its coal-mining heritage and location in the Sirhowy Valley.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03a0240cc81909d7c75c7e6d630f7 |
completed | March 22, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3f32e8481908a6075684287c412 |
completed | March 23, 2026, 6:55 a.m. |
Created at: March 22, 2026, 4:03 p.m.