Triple
T16558738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert T. Ironside |
E402279
|
entity |
| Predicate | hasColleague |
P398
|
FINISHED |
| Object | Mark Sanger |
—
|
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 Sanger | Statement: [Robert T. Ironside, hasColleague, Mark Sanger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Sanger Context triple: [Robert T. Ironside, hasColleague, Mark Sanger]
-
A.
Mark Sanger
chosen
Mark Sanger is a British film editor best known for his Academy Award–winning work on the science fiction thriller "Gravity."
-
B.
Grant Sanger
Grant Sanger was one of the children of birth control activist and Planned Parenthood founder Margaret Sanger.
-
C.
Jonathan Sanger
Jonathan Sanger is an American film producer and director best known for his work on acclaimed films such as "The Elephant Man."
-
D.
Stuart Sanger
Stuart Sanger was one of the children of birth control activist and Planned Parenthood founder Margaret Sanger.
-
E.
Mark Sangster
Mark Sangster is a relative of British actor Thomas Brodie-Sangster, known for his work in film and television.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3576bce0c819087ab36f7dec5c394 |
completed | April 18, 2026, 10:05 a.m. |
Created at: April 10, 2026, 5:15 a.m.