Triple
T6759716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cybill Shepherd |
E154558
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Clementine Ford
Clementine Ford is an American actress known for her roles in television series such as "The L Word" and "The Young and the Restless."
|
E618693
|
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: Clementine Ford | Statement: [Cybill Shepherd, hasChild, Clementine Ford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clementine Ford Context triple: [Cybill Shepherd, hasChild, Clementine Ford]
-
A.
Tessa Ensler
Tessa Ensler is a character portrayed by Jodie Comer, likely in a dramatic screen or stage production.
-
B.
Jessica Dismorr
Jessica Dismorr was a British painter, illustrator, and poet who was a prominent member of the early 20th-century avant-garde, particularly within the Vorticist movement.
-
C.
Lucinda Coxon
Lucinda Coxon is a British playwright and screenwriter known for her work on films such as "The Danish Girl" and various stage adaptations.
-
D.
Moya Bailey
Moya Bailey is a Black feminist scholar and activist best known for coining the term “misogynoir” to describe the specific hatred directed at Black women.
-
E.
Annalee Whitmore
Annalee Whitmore is a screenwriter known for her work on the classic musical film "Babes in Arms."
- 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: Clementine Ford Triple: [Cybill Shepherd, hasChild, Clementine Ford]
Generated description
Clementine Ford is an American actress known for her roles in television series such as "The L Word" and "The Young and the Restless."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Clementine Ford Target entity description: Clementine Ford is an American actress known for her roles in television series such as "The L Word" and "The Young and the Restless."
-
A.
Tessa Ensler
Tessa Ensler is a character portrayed by Jodie Comer, likely in a dramatic screen or stage production.
-
B.
Jessica Dismorr
Jessica Dismorr was a British painter, illustrator, and poet who was a prominent member of the early 20th-century avant-garde, particularly within the Vorticist movement.
-
C.
Lucinda Coxon
Lucinda Coxon is a British playwright and screenwriter known for her work on films such as "The Danish Girl" and various stage adaptations.
-
D.
Moya Bailey
Moya Bailey is a Black feminist scholar and activist best known for coining the term “misogynoir” to describe the specific hatred directed at Black women.
-
E.
Annalee Whitmore
Annalee Whitmore is a screenwriter known for her work on the classic musical film "Babes in Arms."
- 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_69c6880fd5808190be684854081e27dd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d21143748190beaab2488971d65b |
completed | March 27, 2026, 6:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712b0926c81909601f21407526fd9 |
completed | March 27, 2026, 11:28 p.m. |
| NEDg | Description generation | batch_69c7135106288190b5b20523c3efa229 |
completed | March 27, 2026, 11:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7141cd52c8190a783590ad1067840 |
completed | March 27, 2026, 11:34 p.m. |
Created at: March 27, 2026, 2:12 p.m.