Triple
T23528983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niles West High School |
E576509
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object | Wolf |
—
|
NE NERFINISHED |
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: Wolf | Statement: [Niles West High School, mascot, Wolf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wolf Context triple: [Niles West High School, mascot, Wolf]
-
A.
Wolf
Wolf is a central character in August Wilson’s play "Two Trains Running," known as a fast-talking numbers runner who operates out of Memphis’s diner in 1960s Pittsburgh.
-
B.
Wolf
Wolf is a Canadian motorsport team and former Formula One constructor known for competing in the late 1970s under the name Walter Wolf Racing.
-
C.
Wolf
Wolf is an American crime drama television series starring Jack Scalia as a former cop turned private investigator.
-
D.
Wolf
Wolf is a masculine given name, often associated with Germanic origins and evoking the imagery and traits of the wild animal.
-
E.
Wolf
Wolf is a 2013 studio album by American rapper and producer Tyler, the Creator, known for its eclectic production and introspective, narrative-driven lyrics.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245f5a8848190a2ba42e271c6c31f |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ac7646a48190b5dcbaf8c0c194df |
completed | April 29, 2026, 7 a.m. |
Created at: April 17, 2026, 6:09 p.m.