Triple
T6225666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Cusack |
E139225
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Nancy Cusack
Nancy Cusack is the mother of American actor John Cusack and a member of the Cusack family, which includes several well-known performers.
|
E576894
|
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: Nancy Cusack | Statement: [John Cusack, parent, Nancy Cusack]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nancy Cusack Context triple: [John Cusack, parent, Nancy Cusack]
-
A.
Patricia Russo
Patricia Russo is an American business executive best known for serving as CEO of Lucent Technologies and later Alcatel-Lucent.
-
B.
Nancy Weston
Nancy Weston was the mother of prominent African American lawyer, journalist, and civil rights leader Archibald Grimké.
-
C.
Mary Jo Keenen
Mary Jo Keenen is an American actress known for her television work in the 1980s and 1990s, including roles on series such as "Nurses" and "City."
-
D.
Barbara Hackett
Barbara Hackett is a Canadian businesswoman and home renovator best known as the wife of former Toronto mayor John Tory.
-
E.
Sheila Flanagan
Sheila Flanagan is a notable individual distinguished by her association with the surname Flanagan, recognized as one of its prominent bearers.
- 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: Nancy Cusack Triple: [John Cusack, parent, Nancy Cusack]
Generated description
Nancy Cusack is the mother of American actor John Cusack and a member of the Cusack family, which includes several well-known performers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nancy Cusack Target entity description: Nancy Cusack is the mother of American actor John Cusack and a member of the Cusack family, which includes several well-known performers.
-
A.
Patricia Russo
Patricia Russo is an American business executive best known for serving as CEO of Lucent Technologies and later Alcatel-Lucent.
-
B.
Nancy Weston
Nancy Weston was the mother of prominent African American lawyer, journalist, and civil rights leader Archibald Grimké.
-
C.
Mary Jo Keenen
Mary Jo Keenen is an American actress known for her television work in the 1980s and 1990s, including roles on series such as "Nurses" and "City."
-
D.
Barbara Hackett
Barbara Hackett is a Canadian businesswoman and home renovator best known as the wife of former Toronto mayor John Tory.
-
E.
Sheila Flanagan
Sheila Flanagan is a notable individual distinguished by her association with the surname Flanagan, recognized as one of its prominent bearers.
- 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_69c008afd3148190b71e9eaa60420dd1 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062d42c688190be4d8d8325d6daaa |
completed | March 22, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20dd3dc5c8190bf48da3a90863727 |
completed | March 24, 2026, 4:06 a.m. |
| NEDg | Description generation | batch_69c21131f31881909704aac2130d25a7 |
completed | March 24, 2026, 4:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c2118792948190b54b6b54d52d291d |
completed | March 24, 2026, 4:22 a.m. |
Created at: March 22, 2026, 4:22 p.m.