Triple
T10803180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Tigers |
E254894
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Lady Tigers |
unclear NED1
|
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: Lady Tigers | Statement: [Lady Tigers, nickname, Lady Tigers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lady Tigers Context triple: [Lady Tigers, nickname, Lady Tigers]
-
A.
Lady Tigers
Lady Tigers is the name used for the women’s athletic teams representing Savannah State University in intercollegiate sports.
-
B.
Lady Tigers
The Lady Tigers are the women's athletic teams representing Tennessee State University in collegiate sports competitions.
-
C.
Lady Tigers
The Lady Tigers are the women’s basketball team representing Louisiana State University in NCAA Division I competition.
-
D.
Golden Tigers
The Golden Tigers are the athletic teams representing Tuskegee University in intercollegiate sports.
-
E.
D’Tigress
D’Tigress is the Nigerian women’s national basketball team, known for its dominance in African competitions and regular appearances on the global stage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7336feff88190b638b7d62d34da0e |
completed | April 9, 2026, 5:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de567a7ea0819088a2fa10f8367d89 |
completed | April 14, 2026, 3 p.m. |
Created at: April 8, 2026, 9:18 p.m.