Triple
T12737641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry d’Esterre Darby |
E304404
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Darby |
E421812
|
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: Darby | Statement: [Henry d’Esterre Darby, familyName, Darby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darby Context triple: [Henry d’Esterre Darby, familyName, Darby]
-
A.
Darby
chosen
Darby is a small borough in Delaware County, Pennsylvania, forming part of the greater Philadelphia metropolitan area.
-
B.
Darby Green
Darby Green is a small residential area in Hampshire, England, forming part of the suburban communities near the town of Blackwater.
-
C.
Nowell
Nowell is an alternative English spelling of the traditional Christmas carol title “The First Noël,” reflecting an older form of the word "Noel."
-
D.
Bartley
Bartley is a surname most notably associated with American philosopher and scholar William W. Bartley.
-
E.
Graydon
Graydon is a surname of English and Irish origin borne by various notable individuals, including those in politics, sports, and the arts.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9646cfcac81909283dca987755c0e |
completed | April 10, 2026, 8:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c8ff57c8190a935b5c9f4bb5aa3 |
completed | May 2, 2026, 10:37 p.m. |
Created at: April 9, 2026, 5:26 p.m.