Triple
T12925867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cry Pretty |
E309242
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | The Champion |
E296065
|
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: The Champion | Statement: [Cry Pretty, hasPart, The Champion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Champion Context triple: [Cry Pretty, hasPart, The Champion]
-
A.
The Champion
chosen
"The Champion" is a 1915 silent comedy film starring Charlie Chaplin as an underdog boxer who humorously battles his way through the prizefighting world.
-
B.
Champion
"Champion" is a 1949 American film noir boxing drama directed by Mark Robson and starring Kirk Douglas as an ambitious but ruthless prizefighter.
-
C.
Champion
"Champion" is a song by Nigerian singer Fireboy DML, known for its uplifting themes and melodic Afrobeats sound.
-
D.
Champion
Champion was a prominent streamlined passenger train that operated in the mid-20th century between the U.S. Northeast and Florida, known for its popular vacation service.
-
E.
Champion
Champion is an American athletic apparel and sportswear brand known for its hoodies, sweatshirts, and activewear.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971eb17c88190bf523da897172a0c |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af64905c8190b0f2adb66c17c476 |
completed | May 3, 2026, 2:13 a.m. |
Created at: April 9, 2026, 5:42 p.m.