Triple
T17218437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Wisher |
E417910
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Wisher
Wisher is the surname of Michael Wisher, a British actor best known for his roles in the classic science fiction television series "Doctor Who."
|
E1257643
|
NE FINISHED |
How this triple was built (4 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: Wisher | Statement: [Michael Wisher, familyName, Wisher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wisher Context triple: [Michael Wisher, familyName, Wisher]
-
A.
Wunsch
Wunsch is a German-language surname borne by various individuals of German and Central European descent.
-
B.
A Simple Wish
A Simple Wish is a 1997 family fantasy-comedy film in which a young girl tries to help her bumbling fairy godfather save the North American Fairy Godmothers Association.
-
C.
Wish
"Wish" is an aggressive, industrial rock song by Nine Inch Nails, known for its intense sound and Grammy-winning performance.
-
D.
Wish
Wish is a 1992 studio album by English rock band The Cure, known for hits like "Friday I'm in Love" and its blend of alternative rock and gothic pop.
-
E.
Wish
Wish is an e-commerce platform and mobile shopping app known for offering a wide variety of low-priced goods shipped directly from merchants, primarily in China, to consumers worldwide.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wisher Triple: [Michael Wisher, familyName, Wisher]
Generated description
Wisher is the surname of Michael Wisher, a British actor best known for his roles in the classic science fiction television series "Doctor Who."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wisher Target entity description: Wisher is the surname of Michael Wisher, a British actor best known for his roles in the classic science fiction television series "Doctor Who."
-
A.
Wunsch
Wunsch is a German-language surname borne by various individuals of German and Central European descent.
-
B.
A Simple Wish
A Simple Wish is a 1997 family fantasy-comedy film in which a young girl tries to help her bumbling fairy godfather save the North American Fairy Godmothers Association.
-
C.
Wish
"Wish" is an aggressive, industrial rock song by Nine Inch Nails, known for its intense sound and Grammy-winning performance.
-
D.
Wish
Wish is a 1992 studio album by English rock band The Cure, known for hits like "Friday I'm in Love" and its blend of alternative rock and gothic pop.
-
E.
Wish
Wish is an e-commerce platform and mobile shopping app known for offering a wide variety of low-priced goods shipped directly from merchants, primarily in China, to consumers worldwide.
- F. None of above. chosen
Provenance (5 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42ddb2b148190b3b50572cc285e3d |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01675553b88190a04987b0de62cb15 |
completed | May 11, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a0169e5f7e881909cb3fe35935d888d |
completed | May 11, 2026, 5:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a016a46409881908ea7e93fd31cd5c5 |
completed | May 11, 2026, 5:33 a.m. |
Created at: April 10, 2026, 5:38 a.m.