Triple
T3123009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mara |
E65229
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Susan Mara |
E297729
|
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: Susan Mara | Statement: [Mara, hasNotableBearer, Susan Mara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Mara Context triple: [Mara, hasNotableBearer, Susan Mara]
-
A.
Susan Mara
chosen
Susan Mara is a member of the Mara family, the longtime owners of the NFL’s New York Giants franchise.
-
B.
Lesley Ashton
Lesley Ashton is known as the spouse of acclaimed British film director Ken Loach.
-
C.
Claire Bloom
Claire Bloom is an acclaimed English actress known for her distinguished stage and screen career, including prominent roles in classic films, television dramas, and Shakespearean productions.
-
D.
Noel Neill
Noel Neill was an American actress best known for playing Lois Lane in the classic Superman film serials and the 1950s television series "Adventures of Superman."
-
E.
Renée Asherson
Renée Asherson was a British stage and film actress known for her delicate, expressive performances in mid-20th-century British cinema and theatre.
- 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada52c105c8190b8128e66d9b9e8a0 |
completed | March 8, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34badb5cc8190a7e2fef8ec2cc492 |
completed | March 12, 2026, 11:26 p.m. |
Created at: March 8, 2026, 3:04 p.m.