Triple
T19176356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Football League mascots |
E469446
|
entity |
| Predicate | hasExample |
P1259
|
FINISHED |
| Object |
Toro
Toro is the official bull-themed mascot of the NFL’s Houston Texans, known for entertaining fans with on-field antics and community appearances.
|
E152020
|
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: Toro | Statement: [National Football League mascots, hasExample, Toro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toro Context triple: [National Football League mascots, hasExample, Toro]
-
A.
Toro
Toro is the traditional nickname of Torino F.C., a historic Italian football club based in Turin.
-
B.
Toro
Toro is the bull mascot representing California State University, Dominguez Hills at its athletic events and campus activities.
-
C.
Toro
Toro is a Marvel Comics supervillain and member of the Invaders, often depicted as a powerful, bull-like adversary.
-
D.
Toro
Toro is a traditional kingdom and region in western Uganda, known for its rich cultural heritage and historical monarchy.
-
E.
Toro
Toro is a modernist sculpture by Henri Gaudier-Brzeska that exemplifies his dynamic, abstract approach to representing animal forms.
- 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: Toro Triple: [National Football League mascots, hasExample, Toro]
Generated description
Toro is the official bull-themed mascot of the NFL’s Houston Texans, known for entertaining fans with on-field antics and community appearances.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toro Target entity description: Toro is the official bull-themed mascot of the NFL’s Houston Texans, known for entertaining fans with on-field antics and community appearances.
-
A.
Toro
chosen
Toro is the official bull-themed mascot of the NFL's Houston Texans, known for entertaining fans at games and team events.
-
B.
Toro
Toro is the bull mascot representing California State University, Dominguez Hills at its athletic events and campus activities.
-
C.
Toro
Toro is a Marvel Comics supervillain and member of the Invaders, often depicted as a powerful, bull-like adversary.
-
D.
Toro
Toro is the traditional nickname of Torino F.C., a historic Italian football club based in Turin.
-
E.
Toro
Toro is a modernist sculpture by Henri Gaudier-Brzeska that exemplifies his dynamic, abstract approach to representing animal forms.
- F. None of above.
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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f6181f0c8190b344072db0b7abbb |
completed | April 20, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f8b06478819089f91c1546e878bc |
completed | May 15, 2026, 10:42 a.m. |
| NEDg | Description generation | batch_6a06fc7f1130819093828c1fe1218814 |
completed | May 15, 2026, 10:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06fcf7711c8190b54caf5f9a8312fd |
completed | May 15, 2026, 11:01 a.m. |
Created at: April 10, 2026, 12:07 p.m.