Triple
T22946213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hardy family |
E569880
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object | Joe 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: Joe Hardy | Statement: [Hardy family, supports, Joe Hardy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Hardy Context triple: [Hardy family, supports, Joe Hardy]
-
A.
Joe Hardy
Joe Hardy is the magically transformed younger alter ego of aging baseball fan Joe Boyd, who becomes a star player for the Washington Senators in the musical "Damn Yankees."
-
B.
Joe Hardy
chosen
Joe Hardy is one of the two teenage brother detectives in the long-running Hardy Boys mystery book series.
-
C.
Joe Hardy
Joe Hardy was an American record producer and engineer known for his work with major rock and country artists, including Shania Twain and ZZ Top.
-
D.
Sam Hardy
Sam Hardy was an American character actor of the early 20th century, known for his supporting roles in numerous Hollywood films during the 1920s and 1930s.
-
E.
Frank Hardy
Frank Hardy is one of the two teenage brother detectives in the long-running mystery book series "The Hardy Boys."
- 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.