Triple
T13222061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Invasion |
E314778
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Michael Dinner |
E574084
|
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: Michael Dinner | Statement: [Invasion, executiveProducer, Michael Dinner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Dinner Context triple: [Invasion, executiveProducer, Michael Dinner]
-
A.
Michael Dinner
chosen
Michael Dinner is an American television director, producer, and writer known for his work on numerous acclaimed TV series.
-
B.
Michael Boughen
Michael Boughen is a film producer known for his work on action and thriller movies, including the Jason Statham–starring film "Killer Elite."
-
C.
Daniel Dines
Daniel Dines is a Romanian entrepreneur best known as the co-founder and CEO of UiPath, a leading global robotic process automation (RPA) company.
-
D.
Michael Dougherty
Michael Dougherty is an American filmmaker and screenwriter best known for genre films like Trick 'r Treat and Krampus and for directing the MonsterVerse installment Godzilla: King of the Monsters.
-
E.
Michael Wincott
Michael Wincott is a Canadian character actor known for his distinctive raspy voice and memorable villainous roles in films such as The Crow, Robin Hood: Prince of Thieves, and Nope.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf74d708190a61d8ad938653b06 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff24be9881908b96f3e72325e55f |
completed | May 3, 2026, 7:54 a.m. |
Created at: April 9, 2026, 9:18 p.m.