Triple
T3578148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DAL |
E75735
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object | Champ |
E76222
|
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: Champ | Statement: [DAL, mascot, Champ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Champ Context triple: [DAL, mascot, Champ]
-
A.
Champ
Champ is a supporting character in the action-spy film "Kingsman: The Golden Circle," serving as a high-ranking member of the American Statesman organization.
-
B.
Champ
chosen
Champ is the Dallas Mavericks’ horse-themed team mascot known for energizing crowds at their NBA games.
-
C.
The Champ
The Champ is a 1931 American drama film directed by King Vidor, renowned for its poignant story of a washed-up boxer and his devoted young son.
-
D.
Champion
"Champion" is a 1949 American film noir boxing drama directed by Mark Robson and starring Kirk Douglas as an ambitious but ruthless prizefighter.
-
E.
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.
- 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_69ad85d5e3008190bdfe0bacdd1f5a1b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0dd3e048190a0c6666e13ead9cd |
completed | March 8, 2026, 6:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bbc6bc948190a517639f5d79c0a3 |
completed | March 13, 2026, 7:24 a.m. |
Created at: March 8, 2026, 3:21 p.m.