Triple
T10280854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Mudd |
E241095
|
entity |
| Predicate | produced |
P490
|
FINISHED |
| Object | The Ex |
E710613
|
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: The Ex | Statement: [Mr. Mudd, produced, The Ex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Ex Context triple: [Mr. Mudd, produced, The Ex]
-
A.
The Ex
The Ex is a large annual summer fair and exhibition held in Toronto, Ontario, featuring rides, games, concerts, and a wide variety of food and attractions.
-
B.
The Ex
The Ex is a crime novel by American author Alafair Burke that follows a defense attorney drawn into a complex case involving her former fiancé, who is accused of a deadly shooting.
-
C.
The Ex
chosen
The Ex is a film produced by Neal Dodson, known for its darkly comedic take on workplace rivalry and personal relationships.
-
D.
The Ex-Wife
The Ex-Wife is a British psychological thriller television series in which Celine Buckens stars as a woman whose seemingly perfect life unravels amid obsession, jealousy, and marital secrets.
-
E.
Hollywood Exes
Hollywood Exes is a VH1 reality television series that follows the lives of the ex-wives of famous Hollywood celebrities, including Nicole Mitchell Murphy.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2a0c90c8190ad6ee479a32e5a95 |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f82f16688190b1c6b80e424bd552 |
completed | April 9, 2026, 12:51 a.m. |
Created at: April 6, 2026, 11:38 a.m.