Triple
T7718479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louisiana Tech University |
E174946
|
entity |
| Predicate | hasMascot |
P52
|
FINISHED |
| Object |
Tech XXI
Tech XXI is the live bulldog mascot representing Louisiana Tech University's athletic teams and school spirit.
|
E684397
|
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: Tech XXI | Statement: [Louisiana Tech University, hasMascot, Tech XXI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tech XXI Context triple: [Louisiana Tech University, hasMascot, Tech XXI]
-
A.
Technium
Technium is an exhibition floor at Amsterdam's NEMO Science Museum that showcases interactive science and technology displays for visitors.
-
B.
Tekno
Tekno is a Nigerian singer, songwriter, and record producer known for his Afrobeat and Afropop hit songs and dance-oriented sound.
-
C.
Techelles
Techelles is a loyal and warlike follower of Tamburlaine in Christopher Marlowe’s play "Tamburlaine the Great."
-
D.
Technologic
"Technologic" is a 2005 electronic dance track by French duo Daft Punk, known for its robotic vocals listing technology-related commands over a minimalist, catchy beat.
-
E.
TMT
TMT is a planned next-generation ground-based optical and infrared observatory featuring a 30-meter primary mirror for extremely high-resolution astronomical observations.
- 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: Tech XXI Triple: [Louisiana Tech University, hasMascot, Tech XXI]
Generated description
Tech XXI is the live bulldog mascot representing Louisiana Tech University's athletic teams and school spirit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tech XXI Target entity description: Tech XXI is the live bulldog mascot representing Louisiana Tech University's athletic teams and school spirit.
-
A.
Technium
Technium is an exhibition floor at Amsterdam's NEMO Science Museum that showcases interactive science and technology displays for visitors.
-
B.
Tekno
Tekno is a Nigerian singer, songwriter, and record producer known for his Afrobeat and Afropop hit songs and dance-oriented sound.
-
C.
Techelles
Techelles is a loyal and warlike follower of Tamburlaine in Christopher Marlowe’s play "Tamburlaine the Great."
-
D.
Technologic
"Technologic" is a 2005 electronic dance track by French duo Daft Punk, known for its robotic vocals listing technology-related commands over a minimalist, catchy beat.
-
E.
TMT
TMT is the official currency code for the Turkmenistan manat, the national currency of Turkmenistan.
- 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ebb7448190ae8d47fe0cbb0907 |
completed | March 27, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b510650481908d65838108a2d632 |
completed | March 29, 2026, 5:13 a.m. |
| NEDg | Description generation | batch_69c8b6bfb96881908d0e82d3efa1e6e2 |
completed | March 29, 2026, 5:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8b7359cf48190b48782e2eabd5e6d |
completed | March 29, 2026, 5:23 a.m. |
Created at: March 27, 2026, 4:05 p.m.