Triple
T2168888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rutgers University |
E46975
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object | Scarlet Knight |
E38981
|
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: Scarlet Knight | Statement: [Rutgers University, mascot, Scarlet Knight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scarlet Knight Context triple: [Rutgers University, mascot, Scarlet Knight]
-
A.
Scarlet Knight
chosen
Scarlet Knight is the armored medieval knight mascot representing Rutgers University's athletic teams.
-
B.
Scarlet Lady
Scarlet Lady is a cruise ship operated by Virgin Voyages, known for its adults-only voyages and modern, boutique-style onboard experience.
-
C.
Silverthorn
Silverthorn is a residential neighbourhood in the former city of York, now part of Toronto, Ontario, known for its hilly streets and diverse community.
-
D.
Valiant Lady
Valiant Lady is a mid-sized, adults-only cruise ship operated by Virgin Voyages, known for its modern design, nightlife-focused atmosphere, and unconventional approach to cruising.
-
E.
Childe
Childe is a given name most notably associated with Childe Harold Wills, an early 20th-century American automotive engineer and metallurgist who worked closely with Henry Ford.
- 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_69a88a184cbc8190877791f6552c2484 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbeadaed481908d6afa942d7155b8 |
completed | March 7, 2026, 5:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58f26334819095202544d37e6850 |
completed | March 9, 2026, 5:21 a.m. |
Created at: March 4, 2026, 7:45 p.m.