Triple
T18068225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George K. Spoor |
E432348
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Spoor |
—
|
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: Spoor | Statement: [George K. Spoor, familyName, Spoor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spoor Context triple: [George K. Spoor, familyName, Spoor]
-
A.
Spoor
Spoor is a 2017 Polish crime drama film directed by Agnieszka Holland that blends mystery with environmental and social themes in a remote mountain community.
-
B.
Spoor
chosen
Spoor is a Dutch surname most notably borne by Simon Hendrik Spoor, a prominent military leader in the mid-20th century.
-
C.
Heenweg
Heenweg is a small village in the Dutch municipality of Westland in the province of South Holland, Netherlands.
-
D.
Spoornet
Spoornet was South Africa’s former state-owned freight rail operator, responsible for much of the country’s heavy rail transport before being restructured and rebranded.
-
E.
The Westlander
The Westlander is a long-distance passenger train service in Queensland, Australia, running between Brisbane and the state’s western regions.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4cceb020081909329492591e7b1f2 |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.