Triple
T4188898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfred Harker |
E88384
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Harker |
E338778
|
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: Harker | Statement: [Alfred Harker, familyName, Harker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harker Context triple: [Alfred Harker, familyName, Harker]
-
A.
Harker
chosen
Harker is a surname of English origin borne by various notable individuals, including actors, writers, and public figures.
-
B.
Nightcliff
Nightcliff is a coastal suburb of Darwin in Australia's Northern Territory, known for its scenic foreshore, jetty, and relaxed residential atmosphere.
-
C.
Harkness
Harkness is a surname of Scottish origin borne by various notable individuals in fields such as business, philanthropy, and the arts.
-
D.
Blackridge
Blackridge is a village in West Lothian, Scotland, situated between Bathgate and Armadale with a largely residential and commuter community.
-
E.
Haine
Haine is a river in western Europe that flows through northern France and southwestern Belgium, historically associated with the Hainaut region.
- 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_69aed9477e8c81908bcb862d2db55b1d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0326eaec819083cd298c9219dd15 |
completed | March 9, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b58a034f6481909a3126d8832f7821 |
completed | March 14, 2026, 4:17 p.m. |
Created at: March 9, 2026, 3:46 p.m.