Triple
T21600237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Gilliland |
E533016
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Gilliland |
—
|
NE NERFINISHED |
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: Gilliland | Statement: [Elizabeth Gilliland, familyName, Gilliland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gilliland Context triple: [Elizabeth Gilliland, familyName, Gilliland]
-
A.
Gilliland
chosen
Gilliland is a surname of English and Irish origin borne by various notable individuals across fields such as politics, science, and the arts.
-
B.
Gilliatt
Gilliatt is the solitary, resourceful fisherman and central hero of Victor Hugo’s novel *Les Travailleurs de la mer*, known for his epic struggle against the sea.
-
C.
Gillies
Gillies is a Scottish-origin surname borne by numerous individuals, including notable figures in sports, arts, and public life.
-
D.
Gilliat
Gilliat is an English surname most notably associated with Sidney Gilliat, a prominent British film director, producer, and screenwriter.
-
E.
Gillman
Gillman is an industrial and port-side suburb in Adelaide, South Australia, known for its transport infrastructure and proximity to major shipping facilities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e12fdc8190ab6125ea8d294717 |
completed | April 27, 2026, 8:01 a.m. |
Created at: April 16, 2026, 6:32 p.m.