Triple
T22837818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flack |
E565993
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Marc Warren |
—
|
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: Marc Warren | Statement: [Flack, starring, Marc Warren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marc Warren Context triple: [Flack, starring, Marc Warren]
-
A.
Marc Warren
chosen
Marc Warren is an English actor known for his versatile roles in British television dramas and films, including prominent parts in series like "Hustle" and "Mad Dogs."
-
B.
Alistair Smythe
Alistair Smythe is a Marvel Comics supervillain and scientific genius best known as an enemy of Spider-Man and the creator of the deadly Spider-Slayer robots.
-
C.
Alistair Crane
Alistair Crane is a wealthy, manipulative patriarch and central antagonist in the American soap opera "Passions."
-
D.
Nicholas Crane
Nicholas Crane is a British geographer, author, and television presenter known for his work on geography-themed documentaries and popular science books.
-
E.
Paul Griffin
Paul Griffin was an American session keyboardist renowned for his soulful, inventive playing on landmark recordings by artists such as Bob Dylan, Steely Dan, and countless others.
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e303cec81909c5c118dc8c93354 |
completed | April 29, 2026, 3:42 a.m. |
Created at: April 17, 2026, 3:35 p.m.