Triple
T14982333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Freeling |
E373608
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Mark Victor |
E349957
|
NE FINISHED |
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 Victor | Statement: [Steve Freeling, createdBy, Mark Victor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Victor Context triple: [Steve Freeling, createdBy, Mark Victor]
-
A.
Mark Victor
chosen
Mark Victor is a screenwriter best known for co-writing the classic 1982 horror film "Poltergeist."
-
B.
Mark Arnold
Mark Arnold is an American actor best known for his role in the 1985 teen comedy film "Teen Wolf."
-
C.
Michael Hinn
Michael Hinn was an American actor known for supporting roles in mid-20th-century films, including the 1957 crime drama "The Big Boodle."
-
D.
Matthew Marks
Matthew Marks is an influential American art dealer and gallerist known for representing prominent contemporary artists through his eponymous gallery.
-
E.
Christian Colson
Christian Colson is a British film producer best known for his Academy Award-winning work on "Slumdog Millionaire" and other acclaimed dramas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6fe42a081909308f788fdf024d5 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bef015c8190bdfb1b9144b2a55c |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:52 a.m.