Triple
T13290807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2014 Formula One season |
E316554
|
entity |
| Predicate | team |
P3756
|
FINISHED |
| Object |
Lotus
Lotus was a Formula One team that competed in the 2014 World Championship, continuing the legacy of the historic Lotus name in Grand Prix racing.
|
E1033344
|
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: Lotus | Statement: [2014 Formula One season, team, Lotus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lotus Context triple: [2014 Formula One season, team, Lotus]
-
A.
Lotus
Lotus is a 2001 studio album by German singer and songwriter Nena that blends pop and rock elements with introspective lyrics.
-
B.
Lotus
Lotus is an American jam band known for its improvisational live performances that blend elements of rock, electronic, and funk music.
-
C.
Lotus
The lotus is a sacred aquatic flower widely revered in Indian culture and religion, symbolizing purity, beauty, and spiritual enlightenment.
-
D.
Lotus
Lotus is a pioneering software company best known for its Lotus 1-2-3 spreadsheet program, which was a dominant application in the early days of personal computing.
-
E.
Lotus
"Lotus" is a studio album by the Japanese rock band Your Body, showcasing their distinctive sound and musical style.
- 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: Lotus Triple: [2014 Formula One season, team, Lotus]
Generated description
Lotus was a Formula One team that competed in the 2014 World Championship, continuing the legacy of the historic Lotus name in Grand Prix racing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lotus Target entity description: Lotus was a Formula One team that competed in the 2014 World Championship, continuing the legacy of the historic Lotus name in Grand Prix racing.
-
A.
Lotus
Lotus is a pioneering software company best known for its Lotus 1-2-3 spreadsheet program, which was a dominant application in the early days of personal computing.
-
B.
Lotus
Lotus is an American jam band known for its improvisational live performances that blend elements of rock, electronic, and funk music.
-
C.
Lotus
Lotus is a 2001 studio album by German singer and songwriter Nena that blends pop and rock elements with introspective lyrics.
-
D.
Lotus
Lotus is the seventh studio album by American singer Christina Aguilera, blending pop and electronic influences with themes of rebirth and empowerment.
-
E.
Lotus
"Lotus" is a studio album by the Japanese rock band Your Body, showcasing their distinctive sound and musical style.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99077a8f48190b1163448a3a978a2 |
completed | April 11, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716d6dc988190ab7183089113237f |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f717f4d80c8190a1a95c0f2c83c563 |
completed | May 3, 2026, 9:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f718b852808190a2a0fb48424bffb0 |
completed | May 3, 2026, 9:43 a.m. |
Created at: April 9, 2026, 9:27 p.m.