Triple
T646365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Mara |
E11249
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Kate Mara |
E10370
|
NE FINISHED |
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: Kate Mara | Statement: [John Mara, relative, Kate Mara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Mara Context triple: [John Mara, relative, Kate Mara]
-
A.
Kate Mara
chosen
Kate Mara is an American actress known for her roles in films like "The Martian" and "Brokeback Mountain" and TV series such as "House of Cards."
-
B.
Robin Ruzan
Robin Ruzan is an American writer, producer, and actress known for her work in comedy and television, including contributions to projects associated with "Saturday Night Live."
-
C.
Scott Grimes
Scott Grimes is an American actor and singer best known for his roles in the TV series "ER," "Band of Brothers," and as a prominent voice actor in animated television.
-
D.
Carla Gugino
Carla Gugino is an American actress known for her versatile film and television roles, including prominent performances in projects like "Spy Kids," "Sin City," and "The Haunting of Hill House."
-
E.
Maggie Siff
Maggie Siff is an American actress best known for her television roles in series such as Mad Men, Sons of Anarchy, and Billions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f1b24b08190897d8aedb877bd83 |
completed | March 1, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a580373e3c81909aa9ff50f3b1e781 |
completed | March 2, 2026, 12:19 p.m. |
Created at: March 1, 2026, 7:36 p.m.