Triple
T11344747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robin Green |
E268685
|
entity |
| Predicate | collaboratesWith |
P37
|
FINISHED |
| Object | Mitchell Burgess |
E268686
|
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: Mitchell Burgess | Statement: [Robin Green, collaboratesWith, Mitchell Burgess]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mitchell Burgess Context triple: [Robin Green, collaboratesWith, Mitchell Burgess]
-
A.
Mitchell Burgess
chosen
Mitchell Burgess is an American television writer and producer best known for his work on the acclaimed HBO series *The Sopranos*.
-
B.
David Mitchell
David Mitchell is a British novelist best known for his genre-blending, intricately structured works such as "Cloud Atlas" and "The Bone Clocks."
-
C.
David Mitchell
David Mitchell was an American scenic designer renowned for his work on numerous Broadway productions, television shows, and films.
-
D.
David Mitchell
David Mitchell was a prominent 19th-century Australian builder and contractor known for constructing many of Melbourne’s landmark buildings.
-
E.
Philip Reeve
Philip Reeve is a British author best known for his award-winning science fiction and fantasy novels for young adults, particularly the Mortal Engines series.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea1f9574819089760c5b5908f09e |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e55649a9188190911608fef5894bd8 |
completed | April 19, 2026, 10:25 p.m. |
Created at: April 8, 2026, 9:33 p.m.