Triple
T6505296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Finds Andy Hardy |
E149991
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Judge Hardy |
E135985
|
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: Judge Hardy | Statement: [Love Finds Andy Hardy, featuresCharacter, Judge Hardy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Judge Hardy Context triple: [Love Finds Andy Hardy, featuresCharacter, Judge Hardy]
-
A.
Judge Brack
Judge Brack is a calculating, socially influential judge who serves as a manipulative antagonist in Henrik Ibsen’s play "Hedda Gabler."
-
B.
Judge Mathis
Judge Mathis is a long-running American arbitration-based reality court show featuring former Michigan judge Greg Mathis presiding over small-claims disputes.
-
C.
Judge Staveley
Judge Staveley is a central fictional judge in Anthony Trollope’s novel "Orley Farm," known for his integrity and involvement in the novel’s legal and moral conflicts.
-
D.
Judge James K. Hardy
chosen
Judge James K. Hardy is the wise, fair-minded father and small-town jurist in the classic "Andy Hardy" film series.
-
E.
Lord Judge
Lord Judge is a prominent British jurist who served as Lord Chief Justice of England and Wales.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69966ff708190902c88cb6b48e5d7 |
completed | March 27, 2026, 2:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb43db608190b785e77f6850bb6f |
completed | March 27, 2026, 6:24 p.m. |
Created at: March 27, 2026, 1:43 p.m.