Triple
T14981869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linda Gray Sexton |
E373596
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sexton |
E776453
|
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: Sexton | Statement: [Linda Gray Sexton, familyName, Sexton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sexton Context triple: [Linda Gray Sexton, familyName, Sexton]
-
A.
Sexton
chosen
Sexton is an English and Irish occupational surname historically given to church officers responsible for maintenance and burials.
-
B.
Sweeney
Sweeney is a surname of Irish and Scottish origin borne by various notable individuals in entertainment, sports, and public life.
-
C.
Campion
Campion is a surname most notably associated with New Zealand film director and screenwriter Jane Campion, acclaimed for works such as "The Piano."
-
D.
Shriever
Shriever is a surname, a variant spelling of "Shriver," borne by various individuals of English-speaking origin.
-
E.
Beckett
Beckett is a surname most famously associated with Samuel Beckett, the Irish avant-garde novelist, playwright, and Nobel Prize–winning author of "Waiting for Godot."
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6fe42a081909308f788fdf024d5 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bef015c8190bdfb1b9144b2a55c |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:52 a.m.