Triple
T15209370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Tigers |
E363473
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object | Golden Tiger |
E888160
|
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: Golden Tiger | Statement: [Golden Tigers, mascot, Golden Tiger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Golden Tiger Context triple: [Golden Tigers, mascot, Golden Tiger]
-
A.
Golden Tigers
chosen
Golden Tigers is the athletic mascot and nickname representing Brenau University's sports teams.
-
B.
Golden Tigers
The Golden Tigers are the athletic teams representing Tuskegee University in intercollegiate sports.
-
C.
White Tiger
White Tiger is a martial-arts-based street-level superhero identity in Marvel Comics, used by several characters who often operate alongside teams like the Heroes for Hire.
-
D.
White Tiger
"White Tiger" is a 2012 Russian war fantasy film directed by Karen Shakhnazarov that follows a Soviet tank crewman obsessed with hunting a mysterious, seemingly invincible German tank during World War II.
-
E.
Golden Leopard
The Golden Leopard is the top prize awarded for the best film at the prestigious Locarno Film Festival in Switzerland.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076ad4ec81908d36f541fca08d72 |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed33f9abc8190bf8166c1fd9fcac6 |
completed | May 9, 2026, 6:25 a.m. |
Created at: April 10, 2026, 3:11 a.m.