Triple
T22917915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johny Hendricks |
E568781
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Johny |
—
|
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: Johny | Statement: [Johny Hendricks, givenName, Johny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johny Context triple: [Johny Hendricks, givenName, Johny]
-
A.
Jhonny
Jhonny is a person whose full name is Jhonny Carvajal.
-
B.
Johnnie
Johnnie is a given name, typically a diminutive or variant of John, used for both males and females.
-
C.
Johnny
Johnny is the abrasive, intellectually sharp yet self-destructive drifter who serves as the central antihero of Mike Leigh’s 1993 British film "Naked."
-
D.
Johnny
chosen
Johnny is a common English masculine given name, often used as a familiar or diminutive form of John.
-
E.
Jonny
Jonny is a key character in the romantic comedy film "Chalet Girl," serving as the wealthy love interest of the protagonist.
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1807b254c8190bb84596dcacaa35e |
completed | April 29, 2026, 3:52 a.m. |
Created at: April 17, 2026, 3:42 p.m.