Triple
T5880250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple Owls |
E130729
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
Temple
Temple is the athletic program of Temple University, best known for its NCAA Division I sports teams, particularly in basketball and football.
|
E552749
|
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: Temple | Statement: [Temple Owls, shortName, Temple]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Temple Context triple: [Temple Owls, shortName, Temple]
-
A.
Temple
Temple is a historic legal district in central London, renowned for housing the Inns of Court and many barristers’ chambers.
-
B.
Temple
Temple is a surname of English origin borne by various notable individuals across fields such as politics, sports, and the arts.
-
C.
Temple
Temple is a mid-sized city in central Texas known as a regional medical and transportation hub.
-
D.
The Temple
The Temple is a large, spiritually themed art installation at Burning Man that serves as a communal space for reflection, mourning, and symbolic release before being ceremonially burned.
-
E.
Temple IV
Temple IV is one of the tallest and most iconic Mayan pyramid-temples at the ancient city of Tikal in Guatemala, renowned for its towering height and panoramic views over the surrounding rainforest.
- 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: Temple Triple: [Temple Owls, shortName, Temple]
Generated description
Temple is the athletic program of Temple University, best known for its NCAA Division I sports teams, particularly in basketball and football.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Temple Target entity description: Temple is the athletic program of Temple University, best known for its NCAA Division I sports teams, particularly in basketball and football.
-
A.
Temple
Temple is a historic legal district in central London, renowned for housing the Inns of Court and many barristers’ chambers.
-
B.
Temple
Temple is a mid-sized city in central Texas known as a regional medical and transportation hub.
-
C.
Temple
Temple is a surname of English origin borne by various notable individuals across fields such as politics, sports, and the arts.
-
D.
The Temple
The Temple is a large, spiritually themed art installation at Burning Man that serves as a communal space for reflection, mourning, and symbolic release before being ceremonially burned.
-
E.
Temple IV
Temple IV is one of the tallest and most iconic Mayan pyramid-temples at the ancient city of Tikal in Guatemala, renowned for its towering height and panoramic views over the surrounding rainforest.
- 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_69c0085523688190bfd487479ce819e6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03633f0d88190b0ecf595cb28b783 |
completed | March 22, 2026, 6:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b12d9e348190b4baf171ce448d5b |
completed | March 23, 2026, 3:19 a.m. |
| NEDg | Description generation | batch_69c0b20828948190b0459089cb6038d6 |
completed | March 23, 2026, 3:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0b286537481908741b9e0a368f94f |
completed | March 23, 2026, 3:24 a.m. |
Created at: March 22, 2026, 3:57 p.m.