Triple
T14012044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Art Marcum |
E337104
|
entity |
| Predicate | coWriterWith |
P7870
|
FINISHED |
| Object | Mark Fergus |
E293064
|
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 Fergus | Statement: [Art Marcum, coWriterWith, Mark Fergus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Fergus Context triple: [Art Marcum, coWriterWith, Mark Fergus]
-
A.
Mark Fergus
chosen
Mark Fergus is an American screenwriter and filmmaker best known for co-writing acclaimed films such as "Children of Men" and "Iron Man."
-
B.
J. R. Orci
J. R. Orci is a television writer and producer known for his work on series such as "Fringe" and "The Blacklist."
-
C.
Zach Helm
Zach Helm is an American screenwriter, director, and producer best known for writing the metafictional film "Stranger Than Fiction."
-
D.
Roberto Orci
Roberto Orci is a Mexican-American screenwriter and producer best known for co-writing and producing major science fiction and action franchises such as the rebooted Star Trek films and the Transformers series.
-
E.
Jack Behr
Jack Behr is a screenwriter known for his work on the film "Birdy."
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed5cfd0819085b9c860b119a9de |
completed | April 14, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc32b459c81908b652286f444e940 |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.