Triple
T3907601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Mara |
E87240
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Denise Mara |
E87240
|
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: Denise Mara | Statement: [John Mara, spouse, Denise Mara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denise Mara Context triple: [John Mara, spouse, Denise Mara]
-
A.
Denise Mara
chosen
Denise Mara is the wife of New York Giants co-owner John Mara and a member of the prominent Mara family associated with the NFL franchise.
-
B.
Denise Richard
Denise Richard is the mother of Martin Richard, the young boy who was killed in the 2013 Boston Marathon bombing.
-
C.
Denisia Andrews
Denisia Andrews is a contemporary songwriter best known for co-writing major R&B and pop hits, including Beyoncé’s song “Cuff It.”
-
D.
Deanna Rose
Deanna Rose was a local figure in Overland Park, Kansas, whose memory is honored through the Deanna Rose Children’s Farmstead, a popular educational farm and family attraction.
-
E.
Marilou York
Marilou York is an American dental hygienist best known as the longtime wife of actor Mark Hamill.
- 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_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed13bb14819096842c6c82342524 |
completed | March 9, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562821c3c81909805cb877288405b |
completed | March 14, 2026, 1:28 p.m. |
Created at: March 9, 2026, 3:22 p.m.