Triple
T20388844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wraith |
E498030
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Mark Damon |
—
|
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: Mark Damon | Statement: [The Wraith, producer, Mark Damon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Damon Context triple: [The Wraith, producer, Mark Damon]
-
A.
Mark Damon
chosen
Mark Damon is an American actor and film producer known for his roles in 1960s genre films and later for producing numerous international co-productions.
-
B.
David Kaufman
David Kaufman is an American actor best known for voicing Marty McFly in the animated Back to the Future series and for numerous other voice and live-action roles in film and television.
-
C.
Evan Goldberg
Evan Goldberg is a technology entrepreneur best known for founding the cloud-based business software company NetSuite.
-
D.
Evan Goldberg
Evan Goldberg is a Canadian screenwriter, director, and producer best known for co-creating and co-writing hit comedies such as Superbad, Pineapple Express, and This Is the End.
-
E.
Mark Gill
Mark Gill is a film producer known for his work on the psychological thriller "Before I Go to Sleep."
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790d9e5881908bde7da9e5e541a0 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.