Triple
T22803623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tag (2018 film) |
E564469
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Mark Steilen |
—
|
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 Steilen | Statement: [Tag (2018 film), screenwriter, Mark Steilen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Steilen Context triple: [Tag (2018 film), screenwriter, Mark Steilen]
-
A.
Mark Steilen
chosen
Mark Steilen is an American screenwriter, producer, and director known for his work in film and television, including producing the comedy film "Tag" (2018).
-
B.
Marcus G. Langseth
Marcus G. Langseth was a prominent American geophysicist known for his pioneering work in marine seismology and heat flow studies of the oceanic crust.
-
C.
Chris Loken
Chris Loken is the mother of American actress and model Kristanna Loken.
-
D.
Mike Donnelly
Mike Donnelly is the well-meaning but accident-prone protagonist of the comedy film "Black Sheep," whose misadventures jeopardize his brother’s political campaign.
-
E.
Kurt Rasmussen
Kurt Rasmussen is a relatively common personal name that may refer to multiple individuals across different fields, rather than a single widely recognized public figure.
- 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d5a7c2881909a7aaacddd09f00c |
completed | April 29, 2026, 3:39 a.m. |
Created at: April 17, 2026, 3:31 p.m.