Triple
T6140389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Great North |
E136945
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Wendy Molyneux |
E598172
|
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: Wendy Molyneux | Statement: [The Great North, executiveProducer, Wendy Molyneux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wendy Molyneux Context triple: [The Great North, executiveProducer, Wendy Molyneux]
-
A.
Wendy Molyneux
chosen
Wendy Molyneux is an American television writer, producer, and showrunner best known for her work on animated comedies such as Bob’s Burgers and The Great North.
-
B.
Julie Marsden
Julie Marsden is the strong-willed, rebellious Southern belle portrayed by Bette Davis in the 1938 film "Jezebel."
-
C.
Wendy Hall
Wendy Hall is a pioneering British computer scientist and professor known for her influential work in hypermedia, the World Wide Web, and web science.
-
D.
Wendy Benchley
Wendy Benchley is an American ocean conservationist, environmental activist, and former political figure known for her leadership in marine protection and shark conservation.
-
E.
Jennifer Mordaunt
Jennifer Mordaunt is a relative of British Conservative politician Penny Mordaunt.
- 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_69c008a179388190a3b5a081bbf46d55 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cb030fc8190b78e4967eea65611 |
completed | March 22, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c67c36eac4819095b6a2b9e8a277f0 |
completed | March 27, 2026, 12:46 p.m. |
Created at: March 22, 2026, 4:15 p.m.