Triple
T1851356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California Baptist University |
E41599
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object |
Lance the Lancer
Lance the Lancer is the armored knight mascot representing California Baptist University’s athletic teams and school spirit.
|
E204962
|
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: Lance the Lancer | Statement: [California Baptist University, mascot, Lance the Lancer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lance the Lancer Context triple: [California Baptist University, mascot, Lance the Lancer]
-
A.
Lance
Lance is a masculine given name of Germanic origin commonly used in English-speaking countries.
-
B.
Hayato
Hayato is a masculine Japanese given name commonly used for boys and borne by various notable figures in politics, sports, and entertainment.
-
C.
Shoto
Shoto is an upscale residential neighborhood in Tokyo’s Shibuya ward, known for its quiet streets, cultural institutions, and affluent atmosphere.
-
D.
Ritter
Ritter is the surname of Thelma Ritter, the acclaimed American character actress known for her sharp-tongued, working-class roles in mid-20th-century Hollywood films.
-
E.
Yorick Le Saux
Yorick Le Saux is a French cinematographer known for his visually striking, atmospheric work on art-house and independent films.
- 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: Lance the Lancer Triple: [California Baptist University, mascot, Lance the Lancer]
Generated description
Lance the Lancer is the armored knight mascot representing California Baptist University’s athletic teams and school spirit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lance the Lancer Target entity description: Lance the Lancer is the armored knight mascot representing California Baptist University’s athletic teams and school spirit.
-
A.
Lance
Lance is a masculine given name of Germanic origin commonly used in English-speaking countries.
-
B.
Hayato
Hayato is a masculine Japanese given name commonly used for boys and borne by various notable figures in politics, sports, and entertainment.
-
C.
Shoto
Shoto is an upscale residential neighborhood in Tokyo’s Shibuya ward, known for its quiet streets, cultural institutions, and affluent atmosphere.
-
D.
Ritter
Ritter is the surname of Thelma Ritter, the acclaimed American character actress known for her sharp-tongued, working-class roles in mid-20th-century Hollywood films.
-
E.
Yorick Le Saux
Yorick Le Saux is a French cinematographer known for his visually striking, atmospheric work on art-house and independent films.
- 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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb06829b081908767b3df5524c7d4 |
completed | March 7, 2026, 4:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc9c81f2c81908339f6a1d1987631 |
completed | March 8, 2026, 7:11 p.m. |
| NEDg | Description generation | batch_69adcb1565a881908dfc906654429e3f |
completed | March 8, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adcbbc8a108190ad77e91f2ec14b8f |
completed | March 8, 2026, 7:19 p.m. |
Created at: March 4, 2026, 7:33 p.m.