Triple
T23468043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stowaway |
E569148
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Nick Spicer |
—
|
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: Nick Spicer | Statement: [Stowaway, producer, Nick Spicer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Spicer Context triple: [Stowaway, producer, Nick Spicer]
-
A.
Nick Spicer
chosen
Nick Spicer is a film producer known for his work on independent genre and thriller films.
-
B.
Michael Spicer
Michael Spicer is a British Conservative politician best known for his long parliamentary career and influential role in shaping Eurosceptic policy within the party.
-
C.
Eric Spicer
Eric Spicer is an American drummer best known for his work with the influential Chicago punk rock band Naked Raygun.
-
D.
Jonathan Speirs
Jonathan Speirs was a renowned Scottish architectural lighting designer known for co-founding influential lighting design practices and shaping the illumination of landmark buildings worldwide.
-
E.
Michael Spound
Michael Spound is an American actor best known for his role on the 1980s television drama series "Hotel."
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a6fd280c81908aae05f0851466eb |
completed | April 29, 2026, 6:36 a.m. |
Created at: April 17, 2026, 5:54 p.m.