Triple
T13481508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucky Lady |
E318382
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Claire
Claire is a fictional character named in the work "Lucky Lady," likely serving as one of its central figures.
|
E1043069
|
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: Claire | Statement: [Lucky Lady, hasCharacter, Claire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claire Context triple: [Lucky Lady, hasCharacter, Claire]
-
A.
Claire
Claire is a feminine given name of French origin meaning "clear" or "bright," commonly used in English-speaking countries.
-
B.
Claire
Claire is a sharp-tongued, alcoholic sister whose acerbic wit and emotional volatility provide both dark humor and tension in Edward Albee’s play "A Delicate Balance."
-
C.
Claire Marie
Claire Marie was a small early 20th-century avant-garde publishing imprint associated with experimental modernist literature.
-
D.
Claire Louise
Claire Louise was the wife of American film actor Robert Armstrong, best known for his role in the classic movie "King Kong."
-
E.
Claire Bennett
Claire Bennett is the acerbic, grief-stricken woman living with chronic pain portrayed by Jennifer Aniston in the drama film "Cake."
- 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: Claire Triple: [Lucky Lady, hasCharacter, Claire]
Generated description
Claire is a fictional character named in the work "Lucky Lady," likely serving as one of its central figures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Claire Target entity description: Claire is a fictional character named in the work "Lucky Lady," likely serving as one of its central figures.
-
A.
Claire
Claire is a feminine given name of French origin meaning "clear" or "bright," commonly used in English-speaking countries.
-
B.
Claire
Claire is a sharp-tongued, alcoholic sister whose acerbic wit and emotional volatility provide both dark humor and tension in Edward Albee’s play "A Delicate Balance."
-
C.
Claire Marie
Claire Marie was a small early 20th-century avant-garde publishing imprint associated with experimental modernist literature.
-
D.
Claire Louise
Claire Louise was the wife of American film actor Robert Armstrong, best known for his role in the classic movie "King Kong."
-
E.
Claire Bennett
Claire Bennett is the acerbic, grief-stricken woman living with chronic pain portrayed by Jennifer Aniston in the drama film "Cake."
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf36c6b08190ba99400600e0b662 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f74635145c8190a42199fe4ed8c2a5 |
completed | May 3, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_69f748dfd4f081908fd5d77fe70f9db4 |
completed | May 3, 2026, 1:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f74965c53081909c662f7f991849bf |
completed | May 3, 2026, 1:11 p.m. |
Created at: April 9, 2026, 9:42 p.m.