Triple
T17232223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Wildhorn |
E418269
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object |
Nan Knighton
Nan Knighton is an American playwright and lyricist best known for writing the book and lyrics for the Broadway musical "The Scarlet Pimpernel."
|
E1256996
|
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: Nan Knighton | Statement: [Frank Wildhorn, collaboratedWith, Nan Knighton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nan Knighton Context triple: [Frank Wildhorn, collaboratedWith, Nan Knighton]
-
A.
Penny Knight
Penny Knight is an American philanthropist best known as the wife of Nike co-founder Phil Knight and for her substantial charitable contributions, particularly to education and healthcare.
-
B.
Aylwin Lewis
Aylwin Lewis is a musician best known as a member of the British band Scritti Politti.
-
C.
Katharine Tennant
Katharine Tennant was a member of the prominent Tennant family of British high society in the late 19th and early 20th centuries.
-
D.
Ursula Knight
Ursula Knight was the mother of Elihu Yale, the wealthy merchant and philanthropist after whom Yale University is named.
-
E.
Nan Grey
Nan Grey was an American film actress of the 1930s and 1940s, known for her roles in Hollywood dramas and horror films.
- 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: Nan Knighton Triple: [Frank Wildhorn, collaboratedWith, Nan Knighton]
Generated description
Nan Knighton is an American playwright and lyricist best known for writing the book and lyrics for the Broadway musical "The Scarlet Pimpernel."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nan Knighton Target entity description: Nan Knighton is an American playwright and lyricist best known for writing the book and lyrics for the Broadway musical "The Scarlet Pimpernel."
-
A.
Penny Knight
Penny Knight is an American philanthropist best known as the wife of Nike co-founder Phil Knight and for her substantial charitable contributions, particularly to education and healthcare.
-
B.
Aylwin Lewis
Aylwin Lewis is a musician best known as a member of the British band Scritti Politti.
-
C.
Katharine Tennant
Katharine Tennant was a member of the prominent Tennant family of British high society in the late 19th and early 20th centuries.
-
D.
Ursula Knight
Ursula Knight was the mother of Elihu Yale, the wealthy merchant and philanthropist after whom Yale University is named.
-
E.
Nan Grey
Nan Grey was an American film actress of the 1930s and 1940s, known for her roles in Hollywood dramas and horror films.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42df7da748190a3a1762a67eb871b |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a016760873c8190bab70ad4ca0c6d8e |
completed | May 11, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a016838367c8190b5117d5314f71a16 |
completed | May 11, 2026, 5:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0168976af88190a5f839a93538ac6f |
completed | May 11, 2026, 5:26 a.m. |
Created at: April 10, 2026, 5:39 a.m.