Triple
T23121125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susie Cusack |
E576894
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Nancy Cusack |
—
|
NE NERFINISHED |
How this triple was built (2 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: [Susie Cusack, mother, Nancy Cusack]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nancy Cusack Context triple: [Susie Cusack, mother, Nancy Cusack]
-
A.
Nancy Cusack
chosen
Nancy Cusack is the mother of American actor John Cusack and a member of the Cusack family, which includes several well-known performers.
-
B.
Patricia Russo
Patricia Russo is an American business executive best known for serving as CEO of Lucent Technologies and later Alcatel-Lucent.
-
C.
Judy Brown
Judy Brown is a fictional child character, likely a young girl, known primarily in relation to her father, Mr. Brown.
-
D.
Judy Brown
Judy Brown is an American actress best known for her roles in 1970s exploitation and cult films.
-
E.
Nancy Weston
Nancy Weston was the mother of prominent African American lawyer, journalist, and civil rights leader Archibald Grimké.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e4f9be881908307838bfb5edc0c |
completed | April 29, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:59 p.m.