Triple
T13672672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Darryl Farris |
E327788
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Farris |
E327064
|
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: Farris | Statement: [Sir Darryl Farris, hasFamilyName, Farris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farris Context triple: [Sir Darryl Farris, hasFamilyName, Farris]
-
A.
Farris
chosen
Farris is a surname most notably associated with Christine King Farris, an American educator, author, and the elder sister of Martin Luther King Jr.
-
B.
Farr
Farr is a surname of English and Scottish origin borne by various notable individuals, including musicians, actors, and public figures.
-
C.
Fritchie
Fritchie is the surname associated with Barbara Frietchie, the American Civil War heroine immortalized in John Greenleaf Whittier’s poem for defiantly flying the Union flag.
-
D.
Fadden
Fadden is a residential suburb in the Canberra region of the Australian Capital Territory.
-
E.
Fadden
Fadden is an Australian federal electoral division in Queensland, represented in the House of Representatives.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65aab348190a6611f5765f8392d |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7943bfaf0819097410e901847d77c |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:53 p.m.