Triple
T22946205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hardy family |
E569880
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Laura Hardy |
—
|
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: Laura Hardy | Statement: [Hardy family, hasMember, Laura Hardy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Hardy Context triple: [Hardy family, hasMember, Laura Hardy]
-
A.
Laura Hardy
chosen
Laura Hardy is the supportive and resourceful mother of teenage detectives Frank and Joe Hardy in the Hardy Boys mystery series.
-
B.
Anne Hardy
Anne Hardy is the mother of English actor Tom Hardy, known for her influence and support in his early life and career.
-
C.
Laura Davenport
Laura Davenport is the daughter of English actor Nigel Davenport.
-
D.
Laura Grey
Laura Grey is an American comedian, writer, and actress known for her work on satirical television and sketch comedy, as well as her collaborations with fellow comedian Jordan Klepper.
-
E.
June Harding
June Harding was an American actress best known for her role in the 1966 comedy film "The Trouble with Angels."
- 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1819d2d7881909e6390717ff79df0 |
completed | April 29, 2026, 3:57 a.m. |
Created at: April 17, 2026, 3:46 p.m.