Triple
T19971858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honda TT Legends |
E480095
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object |
Motul
Motul is a French company renowned for producing high-performance lubricants and oils for automotive and motorsport applications.
|
E1404666
|
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: Motul | Statement: [Honda TT Legends, sponsor, Motul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Motul Context triple: [Honda TT Legends, sponsor, Motul]
-
A.
Motul de San José
Motul de San José is an ancient Maya archaeological site in Guatemala known for its Classic-period ruins and proximity to Lake Petén Itzá.
-
B.
Mirinda
Mirinda is a fruit-flavored carbonated soft drink brand owned and produced by PepsiCo, popular in many countries around the world.
-
C.
Ciroc Star
"Ciroc Star" is a song by the American indie pop band Chester French, known for its blend of catchy melodies and polished, genre-blurring production.
-
D.
Maza
Maza is a Spanish-language surname notably borne by Margarita Maza de Juárez, the wife of Mexican president Benito Juárez.
-
E.
van Damm
Van Damm is a variant spelling of the surname "van Dam," typically of Dutch origin.
- 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: Motul Triple: [Honda TT Legends, sponsor, Motul]
Generated description
Motul is a French company renowned for producing high-performance lubricants and oils for automotive and motorsport applications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Motul Target entity description: Motul is a French company renowned for producing high-performance lubricants and oils for automotive and motorsport applications.
-
A.
Motul de San José
Motul de San José is an ancient Maya archaeological site in Guatemala known for its Classic-period ruins and proximity to Lake Petén Itzá.
-
B.
Mirinda
Mirinda is a fruit-flavored carbonated soft drink brand owned and produced by PepsiCo, popular in many countries around the world.
-
C.
Ciroc Star
"Ciroc Star" is a song by the American indie pop band Chester French, known for its blend of catchy melodies and polished, genre-blurring production.
-
D.
Maza
Maza is a Spanish-language surname notably borne by Margarita Maza de Juárez, the wife of Mexican president Benito Juárez.
-
E.
van Damm
Van Damm is a variant spelling of the surname "van Dam," typically of Dutch origin.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bc9694881909a31841702ab9e5f |
completed | April 20, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07fdd5624481908f9817ac5f58b7ca |
completed | May 16, 2026, 5:17 a.m. |
| NEDg | Description generation | batch_6a07fe9021dc81909081c65135b57e8f |
completed | May 16, 2026, 5:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07ff024fa48190b0d68ad87dc25ef6 |
completed | May 16, 2026, 5:22 a.m. |
Created at: April 10, 2026, 1:54 p.m.