Triple
T22096300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olivia Harlan |
E546041
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Ann Harlan |
—
|
NE NERFINISHED |
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: Ann Harlan | Statement: [Olivia Harlan, mother, Ann Harlan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ann Harlan Context triple: [Olivia Harlan, mother, Ann Harlan]
-
A.
Ann Harlan
chosen
Ann Harlan is the wife of prominent American sports broadcaster Kevin Harlan.
-
B.
Elizabeth H. Smith Roberts
Elizabeth H. Smith Roberts was the wife of U.S. Supreme Court Justice Owen J. Roberts and a prominent figure in Philadelphia’s social and civic circles in the early 20th century.
-
C.
John Harlan
John Harlan was the husband of American actress and dancer Frances Rafferty.
-
D.
Potter Stewart
Potter Stewart was an Associate Justice of the U.S. Supreme Court, known for his influential opinions on civil liberties, criminal justice, and obscenity law during the mid-20th century.
-
E.
Linda McReynolds
Linda McReynolds is best known as the wife of former NASCAR crew chief and racing analyst Larry McReynolds.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e8f1f48190a5f1d9e96a6de688 |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:30 p.m.