Triple
T686323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cotton Bowl Classic |
E13290
|
entity |
| Predicate | formerSponsor |
P18226
|
FINISHED |
| Object |
Mobil
Mobil is a major American oil company and fuel brand that became part of ExxonMobil after a 1999 merger.
|
E88383
|
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: Mobil | Statement: [Cotton Bowl Classic, formerSponsor, Mobil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mobil Context triple: [Cotton Bowl Classic, formerSponsor, Mobil]
-
A.
Opel
Opel is a German automobile manufacturer known for producing a wide range of passenger cars and light commercial vehicles for the European market.
-
B.
Jeep
Jeep is an American automotive marque best known for its rugged sport utility vehicles and off-road capable 4x4s.
-
C.
Ford
Ford is a common English surname borne by numerous notable individuals, including U.S. President Gerald Ford.
-
D.
Fiat
Fiat is an Italian automobile manufacturer known for producing compact city cars and mass-market vehicles, now operating as a brand within the multinational automotive group Stellantis.
-
E.
Isuzu
Isuzu is a Japanese automotive manufacturer best known for producing commercial vehicles, pickup trucks, and diesel engines for global markets.
- 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: Mobil Triple: [Cotton Bowl Classic, formerSponsor, Mobil]
Generated description
Mobil is a major American oil company and fuel brand that became part of ExxonMobil after a 1999 merger.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mobil Target entity description: Mobil is a major American oil company and fuel brand that became part of ExxonMobil after a 1999 merger.
-
A.
Opel
Opel is a German automobile manufacturer known for producing a wide range of passenger cars and light commercial vehicles for the European market.
-
B.
Jeep
Jeep is an American automotive marque best known for its rugged sport utility vehicles and off-road capable 4x4s.
-
C.
Ford
Ford is a common English surname borne by numerous notable individuals, including U.S. President Gerald Ford.
-
D.
Fiat
Fiat is an Italian automobile manufacturer known for producing compact city cars and mass-market vehicles, now operating as a brand within the multinational automotive group Stellantis.
-
E.
Isuzu
Isuzu is a Japanese automotive manufacturer best known for producing commercial vehicles, pickup trucks, and diesel engines for global markets.
- 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a518e6348190b467c2fab3fd1f11 |
completed | March 1, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a64a53c068819089e66347da55710b |
completed | March 3, 2026, 2:41 a.m. |
| NEDg | Description generation | batch_69a64fa842b481909a5e6ee1c9f398c0 |
completed | March 3, 2026, 3:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a650b66fcc8190bf0ad91ead93f253 |
completed | March 3, 2026, 3:08 a.m. |
Created at: March 1, 2026, 7:36 p.m.