Triple
T15168796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Vanderburgh Harkness |
E362429
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Harkness |
E360913
|
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: Harkness | Statement: [Stephen Vanderburgh Harkness, hasFamilyName, Harkness]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harkness Context triple: [Stephen Vanderburgh Harkness, hasFamilyName, Harkness]
-
A.
Harkness
chosen
Harkness is a surname of Scottish origin borne by various notable individuals in fields such as business, philanthropy, and the arts.
-
B.
Hazlemere
Hazlemere is a suburban village and civil parish in Buckinghamshire, England, situated near High Wycombe.
-
C.
Blackridge
Blackridge is a village in West Lothian, Scotland, situated between Bathgate and Armadale with a largely residential and commuter community.
-
D.
Moross
Moross is a surname most notably associated with American composer Jerome Moross, known for his film and television scores and concert works.
-
E.
Underhill
Underhill is an English surname historically associated with various notable figures in politics, religion, 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064dba588190a4341775b472a6d3 |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec889c3408190bdfc75ce72dd5a62 |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:08 a.m.