Triple
T499552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate Mara |
E10370
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Tim Mara |
E10061
|
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: Tim Mara | Statement: [Kate Mara, relative, Tim Mara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Mara Context triple: [Kate Mara, relative, Tim Mara]
-
A.
Tim Mara
chosen
Tim Mara was an American businessman best known for establishing and owning the New York Giants franchise in the National Football League.
-
B.
Bert Bell
Bert Bell was an influential American football executive who co-founded the Philadelphia Eagles and later served as NFL commissioner, helping shape the modern league.
-
C.
John Whitehurst
John Whitehurst was an 18th-century English clockmaker, scientist, and inventor known for his contributions to geology and membership in the influential Lunar Society of Birmingham.
-
D.
Arthur Gettleman
Arthur Gettleman was the husband of American actress Estelle Getty, best known for her role as Sophia Petrillo on the television series "The Golden Girls."
-
E.
Frank Lane
Frank Lane was a prominent American Major League Baseball executive best known for his frequent and often controversial player trades during the mid-20th century.
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f119b14c8190a5a6b119579c2682 |
completed | Feb. 28, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4984d3a4881909b4bec4c9b7dcd03 |
completed | March 1, 2026, 7:49 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.