Triple
T9918188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Luther King High School |
E185922
|
entity |
| Predicate | hasMascot |
P52
|
FINISHED |
| Object |
Wolf
The Wolf is a powerful, social canine predator known for living and hunting in packs across the Northern Hemisphere.
|
E829477
|
NE FINISHED |
How this triple was built (4 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: [Martin Luther King High School, hasMascot, Wolf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wolf Context triple: [Martin Luther King High School, hasMascot, Wolf]
-
A.
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.
-
B.
Wolf
Wolf is a common German surname borne by numerous notable individuals across fields such as scholarship, politics, and the arts.
-
C.
Wolf
Wolf is a song by American singer Miguel from his album "War & Leisure."
-
D.
Wolf Den
Wolf Den is a notable rocky cave and historic landmark within Mashamoquet State Park in Connecticut, traditionally associated with early colonial wolf-hunting legends.
-
E.
Wolf Den
Wolf Den is a live entertainment venue located within the Mohegan Sun casino resort, known for hosting free concerts and performances.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wolf Triple: [Martin Luther King High School, hasMascot, Wolf]
Generated description
The Wolf is a powerful, social canine predator known for living and hunting in packs across the Northern Hemisphere.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wolf Target entity description: The Wolf is a powerful, social canine predator known for living and hunting in packs across the Northern Hemisphere.
-
A.
Wolf
Wolf is a common German surname borne by numerous notable individuals across fields such as scholarship, politics, and the arts.
-
B.
Wolf
Wolf is a song by American singer Miguel from his album "War & Leisure."
-
C.
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.
-
D.
Wolf Den
Wolf Den is a notable rocky cave and historic landmark within Mashamoquet State Park in Connecticut, traditionally associated with early colonial wolf-hunting legends.
-
E.
Wolf Den
Wolf Den is a live entertainment venue located within the Mohegan Sun casino resort, known for hosting free concerts and performances.
- F. None of above. chosen
Provenance (5 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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb5673f108190914e0c172dddc65f |
completed | April 2, 2026, 12:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20dec42848190ab9f8663155df83f |
completed | April 5, 2026, 7:23 a.m. |
| NEDg | Description generation | batch_69d20ef343a4819093b915a66c63fbaa |
completed | April 5, 2026, 7:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d212d0ed108190bbde23439734618a |
completed | April 5, 2026, 7:44 a.m. |
Created at: March 30, 2026, 8:42 p.m.