Triple
T15872309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Edward Kelly |
E384859
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Chip |
E703302
|
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: Chip | Statement: [Charles Edward Kelly, nickname, Chip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chip Context triple: [Charles Edward Kelly, nickname, Chip]
-
A.
Chip
Chip is one half of the classic chipmunk duo Chip and Dale, known from Disney cartoons for his clever, responsible personality and frequent comedic clashes with characters like Donald Duck.
-
B.
Chip
Chip is an American sportscaster best known for his play-by-play announcing of Major League Baseball games, continuing the broadcasting legacy of the Caray family.
-
C.
Chip
Chip is the young teacup character from Disney's "Beauty and the Beast," known for his innocence, curiosity, and close relationship with Mrs. Potts.
-
D.
Chip
chosen
Chip is a British rapper and songwriter known for his influential role in the UK grime and hip-hop scenes.
-
E.
Chip
Chip is the commonly used nickname of American politician Chip Roy, a U.S. Representative from Texas.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155faefd08190af634867370796b3 |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa94ca15c8190bdd5fe0a30b54b51 |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:51 a.m.