Triple
T10468407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Wonderful |
E246862
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Mark Gordon |
E207123
|
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 Gordon | Statement: [Mr. Wonderful, producer, Mark Gordon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Gordon Context triple: [Mr. Wonderful, producer, Mark Gordon]
-
A.
Mark Gordon
chosen
Mark Gordon is an American film and television producer known for his work on major projects such as "Saving Private Ryan," "Speed," and the series "Grey's Anatomy."
-
B.
Mark Gordon
Mark Gordon is a video game developer best known as one of the founders of Treyarch, the studio behind several major Call of Duty titles.
-
C.
Dan Gordon
Dan Gordon is an American screenwriter known for his work on films such as "The Hurricane" and "Wyatt Earp."
-
D.
Dan Gordon
Dan Gordon is a New Zealand local government leader who serves as the mayor of the Waimakariri District in the Canterbury region.
-
E.
Nick Gordon
Nick Gordon was the former boyfriend of Bobbi Kristina Brown who became widely known due to his controversial involvement in the circumstances surrounding her hospitalization and death.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092ef810819093a4d1df83aeac09 |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d933b40ff8819097e994a496228b7d |
completed | April 10, 2026, 5:30 p.m. |
Created at: April 6, 2026, 12:20 p.m.