Triple

T26387907
Position Surface form Disambiguated ID Type / Status
Subject Matador Song E663332 entity
Predicate alsoKnownAs P39 FINISHED
Object Texas Tech alma mater
The Texas Tech alma mater, commonly known as the "Matador Song," is the official school song of Texas Tech University, traditionally sung at athletic events and university ceremonies to express pride and loyalty.
E1722446 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: Texas Tech alma mater | Statement: [Matador Song, alsoKnownAs, Texas Tech alma mater]
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: Texas Tech alma mater
Triple: [Matador Song, alsoKnownAs, Texas Tech alma mater]
Generated description
The Texas Tech alma mater, commonly known as the "Matador Song," is the official school song of Texas Tech University, traditionally sung at athletic events and university ceremonies to express pride and loyalty.

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_69ee88374adc81909868f3bab374a32f completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f610bd1b188190b14894aa07349746 completed May 2, 2026, 2:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a119a7ee0788190a64a6b36321a2b52 completed May 23, 2026, 12:15 p.m.
NEDg Description generation batch_6a119c71d29c81909bc7875bad89ce29 completed May 23, 2026, 12:24 p.m.
NED2 Entity disambiguation (via description) batch_6a119d55876481908bc905eb263f5660 completed May 23, 2026, 12:28 p.m.
Created at: April 26, 2026, 11:23 p.m.