Triple
T8569457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Tigers |
E202889
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object | Tiger |
E254893
|
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: Tiger | Statement: [Lady Tigers, mascot, Tiger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiger Context triple: [Lady Tigers, mascot, Tiger]
-
A.
Tiger
Tiger is a legendary American professional golfer widely regarded as one of the greatest players in the history of the sport.
-
B.
Tiger
The tiger is a large, powerful carnivorous cat known for its distinctive orange coat with black stripes and its status as an apex predator in Asia.
-
C.
Tigers
The Tigers are the athletic teams representing the University of West Alabama in collegiate sports.
-
D.
Tigers
The Tigers are the athletic teams of Princeton University, most famously represented by the Princeton Tigers men's basketball program known for its disciplined, strategic style of play.
-
E.
Tigers
chosen
Tigers is the nickname and mascot used by numerous sports teams, most prominently Louisiana State University’s athletic programs, including the LSU Tigers women’s basketball team.
- 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea3f28608190a07be8b324669a12 |
completed | March 31, 2026, 3:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebb8e8b9481908f7096acefaa0ffd |
completed | April 2, 2026, 6:55 p.m. |
Created at: March 30, 2026, 6:21 p.m.