Triple
T646385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Mara |
E11249
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Courtney 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: Courtney Mara | Statement: [John Mara, hasChild, Courtney Mara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Courtney Mara Context triple: [John Mara, hasChild, Courtney Mara]
-
A.
Lauren Mara
Lauren Mara is a member of the Mara family, known for its long-standing ownership and leadership of the New York Giants NFL franchise.
-
B.
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."
-
C.
Julanne Johnston
Julanne Johnston was an American silent film actress best known for her role opposite Douglas Fairbanks in the classic 1924 fantasy film "The Thief of Bagdad."
-
D.
Jim Hanifan
Jim Hanifan was an American football coach best known for his tenure as an NFL head coach and longtime offensive line guru, particularly with teams in St. Louis.
-
E.
Anna Beth Sully
Anna Beth Sully was the first wife of silent film star Douglas Fairbanks, whom she married before his rise to Hollywood fame.
- 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_69a58a716de88190854e13fb5143b9b3 |
completed | March 2, 2026, 1:02 p.m. |
Created at: March 1, 2026, 7:36 p.m.