Triple
T12615583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johnny U |
E301242
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Johnny U. |
E301242
|
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: Johnny U. | Statement: [Johnny U, nickname, Johnny U.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johnny U. Context triple: [Johnny U, nickname, Johnny U.]
-
A.
Johnny U
chosen
Johnny U is the legendary Hall of Fame NFL quarterback Johnny Unitas, renowned for revolutionizing the modern passing game with the Baltimore Colts.
-
B.
Johnny
Johnny is a common English masculine given name, often used as a familiar or diminutive form of John.
-
C.
Johnny P
Johnny P was an American R&B singer best known for his smooth vocals and collaborations with Chicago hip hop artists in the 1990s.
-
D.
Ric Pipino
Ric Pipino is an Australian-born celebrity hairstylist known for his work in fashion and entertainment and for his former marriage to supermodel Heidi Klum.
-
E.
Jerry
Jerry is one of the two cross-dressing musician protagonists in the classic 1959 comedy film "Some Like It Hot," famously portrayed by Jack Lemmon.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d960c4f5b48190af76414ef678ba7c |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6686b9d088190832d1f244e7aa924 |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:12 p.m.