Triple
T1061229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Witty Fair One |
E22910
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Clare
Clare is a central character in the Restoration comedy "The Witty Fair One," known for embodying the play’s themes of wit, romance, and social intrigue.
|
E126371
|
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: Clare | Statement: [The Witty Fair One, hasCharacter, Clare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clare Context triple: [The Witty Fair One, hasCharacter, Clare]
-
A.
Clare West
Clare West was an early Hollywood costume designer known for her influential work on major silent films, including collaborations with director Cecil B. DeMille.
-
B.
Bethany
Bethany is a village near Jerusalem mentioned in the New Testament, traditionally known as the home of Mary, Martha, and Lazarus and a frequent place visited by Jesus.
-
C.
Ennis
Ennis is a small Texas city known for its historic downtown, annual Bluebonnet Trails Festival, and location along major transportation routes south of Dallas.
-
D.
Menstrie
Menstrie is a small village in central Scotland, situated at the foot of the Ochil Hills in Clackmannanshire.
-
E.
Frances
Frances is a feminine given name of Latin origin, commonly used in English-speaking countries.
- 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: Clare Triple: [The Witty Fair One, hasCharacter, Clare]
Generated description
Clare is a central character in the Restoration comedy "The Witty Fair One," known for embodying the play’s themes of wit, romance, and social intrigue.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Clare Target entity description: Clare is a central character in the Restoration comedy "The Witty Fair One," known for embodying the play’s themes of wit, romance, and social intrigue.
-
A.
Clare West
Clare West was an early Hollywood costume designer known for her influential work on major silent films, including collaborations with director Cecil B. DeMille.
-
B.
Bethany
Bethany is a village near Jerusalem mentioned in the New Testament, traditionally known as the home of Mary, Martha, and Lazarus and a frequent place visited by Jesus.
-
C.
Ennis
Ennis is a small Texas city known for its historic downtown, annual Bluebonnet Trails Festival, and location along major transportation routes south of Dallas.
-
D.
Menstrie
Menstrie is a small village in central Scotland, situated at the foot of the Ochil Hills in Clackmannanshire.
-
E.
Frances
Frances is a feminine given name of Latin origin, commonly used in English-speaking countries.
- 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_69a493dada0481909c43649f9843ea91 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8f531f481909a40558811379992 |
completed | March 1, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c1d82c88190b418e2e2f050b563 |
completed | March 7, 2026, 4:02 p.m. |
| NEDg | Description generation | batch_69ac4e109c3c8190abcbc66aef59c52f |
completed | March 7, 2026, 4:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac4e646698819083403336eb07b7ff |
completed | March 7, 2026, 4:12 p.m. |
Created at: March 1, 2026, 7:42 p.m.