Triple
T32852955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burdett, Kansas |
E840301
|
entity |
| Predicate | formerHighSchoolMascot |
P160133
|
FINISHED |
| Object |
Burdett Tigers
Burdett Tigers was the mascot and team name representing the former high school in Burdett, Kansas, for its athletic and school spirit activities.
|
E2026819
|
NE FINISHED |
How this triple was built (3 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: Burdett Tigers | Statement: [Burdett, Kansas, formerHighSchoolMascot, Burdett Tigers]
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: Burdett Tigers Triple: [Burdett, Kansas, formerHighSchoolMascot, Burdett Tigers]
Generated description
Burdett Tigers was the mascot and team name representing the former high school in Burdett, Kansas, for its athletic and school spirit activities.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerHighSchoolMascot Context triple: [Burdett, Kansas, formerHighSchoolMascot, Burdett Tigers]
-
A.
mascotOfHighSchool
Indicates that one entity serves as the official mascot representing a particular high school.
-
B.
formerMascot
Indicates that an entity once served as a mascot for another entity but no longer holds that role.
-
C.
schoolMascotHistoric
chosen
Indicates that an entity served as a school’s mascot during a past or historical period, rather than being its current mascot.
-
D.
formerHighSchool
Indicates that one entity previously attended or was enrolled at the other entity as their high school.
-
E.
universityMascot
Indicates that one entity serves as the official mascot representing a particular university.
- F. None of above.
Provenance (6 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_69f349412c78819084459850e11d29f7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff9a25407c81909faa86e72a7a9d17 |
completed | May 9, 2026, 8:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34bd06f2e0819082d4606b5b05c727 |
completed | June 19, 2026, 3:52 a.m. |
| NEDg | Description generation | batch_6a34c0ec31e081909520622a618d1ee5 |
completed | June 19, 2026, 4:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a34c14d0f448190981d7e18216e823f |
completed | June 19, 2026, 4:10 a.m. |
| PD | Predicate disambiguation | batch_69ff99c613688190a03b2f93d5ccad2b |
completed | May 9, 2026, 8:32 p.m. |
Created at: May 1, 2026, 1:17 a.m.