Triple
T3799912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California Golden Bears football |
E91662
|
entity |
| Predicate | rivalry |
P903
|
FINISHED |
| Object |
Big Game
Big Game is the annual college football rivalry matchup between the University of California, Berkeley Golden Bears and the Stanford Cardinal.
|
E388998
|
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: Big Game | Statement: [California Golden Bears football, rivalry, Big Game]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Game Context triple: [California Golden Bears football, rivalry, Big Game]
-
A.
Cheetah Hunt
Cheetah Hunt is a multi-launch steel roller coaster at Busch Gardens Tampa Bay known for its high speeds, long track layout, and cheetah-inspired theme.
-
B.
The Wild
The Wild is a studio album by American rapper Raekwon that showcases his gritty storytelling and classic East Coast hip-hop style.
-
C.
The Wild
The Wild is a themed area of the Saint Louis Zoo that immerses visitors in habitats featuring animals from rugged, remote, and often colder regions of the world.
-
D.
Cold Game
Cold Game is a track featured on the hip-hop album "Doggumentary" by Snoop Dogg.
-
E.
The Crazy Hunter
The Crazy Hunter is a literary work by American writer Kay Boyle, known for her modernist style and exploration of complex human relationships.
- 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: Big Game Triple: [California Golden Bears football, rivalry, Big Game]
Generated description
Big Game is the annual college football rivalry matchup between the University of California, Berkeley Golden Bears and the Stanford Cardinal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Big Game Target entity description: Big Game is the annual college football rivalry matchup between the University of California, Berkeley Golden Bears and the Stanford Cardinal.
-
A.
Cheetah Hunt
Cheetah Hunt is a multi-launch steel roller coaster at Busch Gardens Tampa Bay known for its high speeds, long track layout, and cheetah-inspired theme.
-
B.
The Wild
The Wild is a studio album by American rapper Raekwon that showcases his gritty storytelling and classic East Coast hip-hop style.
-
C.
The Wild
The Wild is a themed area of the Saint Louis Zoo that immerses visitors in habitats featuring animals from rugged, remote, and often colder regions of the world.
-
D.
Cold Game
Cold Game is a track featured on the hip-hop album "Doggumentary" by Snoop Dogg.
-
E.
The Crazy Hunter
The Crazy Hunter is a literary work by American writer Kay Boyle, known for her modernist style and exploration of complex human relationships.
- 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_69aed96354f48190a768966d6bd19b04 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee7a43c408190a54cff649f63e69f |
completed | March 9, 2026, 3:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f064471881908b52b2f64e50a83d |
completed | March 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69b4f1fae7ac8190909b05c0d685e377 |
completed | March 14, 2026, 5:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4f29e5fb48190982ab2844eb8c179 |
completed | March 14, 2026, 5:31 a.m. |
Created at: March 9, 2026, 3:15 p.m.