Triple
T23419950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sid Gillman |
E560623
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Gillman |
—
|
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: Gillman | Statement: [Sid Gillman, familyName, Gillman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gillman Context triple: [Sid Gillman, familyName, Gillman]
-
A.
Gillman
Gillman is an industrial and port-side suburb in Adelaide, South Australia, known for its transport infrastructure and proximity to major shipping facilities.
-
B.
Gilliat
Gilliat is an English surname most notably associated with Sidney Gilliat, a prominent British film director, producer, and screenwriter.
-
C.
Gillams
Gillams is a small coastal community in Newfoundland and Labrador, Canada, situated near the Bay of Islands.
-
D.
Gilman
chosen
Gilman is a surname most notably associated with Daniel Coit Gilman, a pioneering American educator and first president of Johns Hopkins University.
-
E.
Gilliland
Gilliland is a surname of English and Irish origin borne by various notable individuals across fields such as politics, science, and the arts.
- 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_69e2454cb1108190ab21ada5411a7146 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a54489d48190b2b2c29701851765 |
completed | April 29, 2026, 6:29 a.m. |
Created at: April 17, 2026, 5:44 p.m.