Triple
T14527825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Girl Worth Fighting For |
E340824
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Jerry Tondo |
E1059994
|
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: Jerry Tondo | Statement: [A Girl Worth Fighting For, performer, Jerry Tondo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jerry Tondo Context triple: [A Girl Worth Fighting For, performer, Jerry Tondo]
-
A.
Jerry Tondo
chosen
Jerry Tondo is an American voice actor best known for portraying Chien-Po in Disney's animated film "Mulan" and its sequel.
-
B.
Rico Bandello
Rico Bandello is the ruthless, ambitious gangster protagonist of the classic 1931 crime film "Little Caesar," often cited as one of cinema’s earliest and most influential mob antiheroes.
-
C.
Joe Godino
Joe Godino is the drummer for the American punk rock band The Menzingers.
-
D.
Anthony Cipriano
Anthony Cipriano is a television writer and producer best known for developing and creating the contemporary Psycho prequel series "Bates Motel."
-
E.
Pete Velasco
Pete Velasco was a Filipino American labor organizer and key United Farm Workers figure who helped lead the historic Delano grape strike in the 1960s.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea051bc608190ad4d516c5e7bca43 |
completed | April 14, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a52260881909a0d85603666107d |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:22 a.m.