Triple
T11025046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Spottiswoode |
E260596
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Spottiswoode |
E600679
|
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: Spottiswoode | Statement: [John Spottiswoode, familyName, Spottiswoode]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spottiswoode Context triple: [John Spottiswoode, familyName, Spottiswoode]
-
A.
Spottiswoode
chosen
Spottiswoode is a surname most notably associated with British-Canadian film director Roger Spottiswoode.
-
B.
Scarphe
Scarphe is a figure from Greek mythology known primarily as the wife of Aeson, the father of the hero Jason.
-
C.
Moross
Moross is a surname most notably associated with American composer Jerome Moross, known for his film and television scores and concert works.
-
D.
Sharston
Sharston is a suburban area of Manchester, England, known for its residential neighborhoods and proximity to other districts like Baguley and Wythenshawe.
-
E.
Wylie
Wylie is a suburban city in the Dallas–Fort Worth metropolitan area in northeastern Texas.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797bf78a48190a37b423812827d4e |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e37523f8548190ad40fa76660232a8 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 8, 2026, 9:25 p.m.