Triple
T17606729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lancaster |
E428851
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Marshall Lancaster |
—
|
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: Marshall Lancaster | Statement: [Lancaster, hasNotableBearer, Marshall Lancaster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marshall Lancaster Context triple: [Lancaster, hasNotableBearer, Marshall Lancaster]
-
A.
Marshall Lancaster
chosen
Marshall Lancaster is a British actor best known for his role as DC Chris Skelton in the television series "Life on Mars" and its sequel "Ashes to Ashes."
-
B.
Marshall Dutton
Marshall Dutton is an American musician, songwriter, and record producer best known as the lead vocalist of the rock band Hinder and for his extensive work in rock and alternative music production.
-
C.
Marshall Harvey
Marshall Harvey is a film editor best known for his work on movies such as the dark comedy "The 'Burbs."
-
D.
Marshall Todd
Marshall Todd is a screenwriter best known for co-writing the hit comedy film "Barbershop."
-
E.
Scott Marshall
Scott Marshall is an American film and television director known for his work on comedies and for being the son of filmmaker Garry Marshall.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c4ccef08190aeaa88670364bd74 |
completed | April 19, 2026, 5:46 a.m. |
Created at: April 10, 2026, 5:51 a.m.