Triple
T14145718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jan Janssen |
E350542
|
entity |
| Predicate | team |
P3756
|
FINISHED |
| Object |
Bic
Bic was a professional cycling team sponsored by the French pen and lighter manufacturer, active primarily in the late 1960s and early 1970s.
|
E1081530
|
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: Bic | Statement: [Jan Janssen, team, Bic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bic Context triple: [Jan Janssen, team, Bic]
-
A.
Bic Camera
Bic Camera is a major Japanese consumer electronics retail chain known for its large multi-floor stores offering a wide range of electronics, appliances, and household goods.
-
B.
Pensil
Pensil is a neighborhood located within the Miguel Hidalgo borough of Mexico City, Mexico.
-
C.
Sharpie
Sharpie is a popular brand of permanent markers and writing instruments known for their bold, quick-drying ink used in homes, schools, and offices.
-
D.
Bicqlo
Bicqlo is a large retail store in Shinjuku, Tokyo, created as a collaboration between electronics retailer Bic Camera and clothing brand Uniqlo.
-
E.
Crayon
Crayon is a Nigerian singer and songwriter signed to Mavin Records, known for his Afropop and Afrobeat-influenced music.
- 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: Bic Triple: [Jan Janssen, team, Bic]
Generated description
Bic was a professional cycling team sponsored by the French pen and lighter manufacturer, active primarily in the late 1960s and early 1970s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bic Target entity description: Bic was a professional cycling team sponsored by the French pen and lighter manufacturer, active primarily in the late 1960s and early 1970s.
-
A.
Bic Camera
Bic Camera is a major Japanese consumer electronics retail chain known for its large multi-floor stores offering a wide range of electronics, appliances, and household goods.
-
B.
Pensil
Pensil is a neighborhood located within the Miguel Hidalgo borough of Mexico City, Mexico.
-
C.
Sharpie
Sharpie is a popular brand of permanent markers and writing instruments known for their bold, quick-drying ink used in homes, schools, and offices.
-
D.
Bicqlo
Bicqlo is a large retail store in Shinjuku, Tokyo, created as a collaboration between electronics retailer Bic Camera and clothing brand Uniqlo.
-
E.
Crayon
Crayon is a Nigerian singer and songwriter signed to Mavin Records, known for his Afropop and Afrobeat-influenced music.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de612266248190a8591b646fe30ae6 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf1d8c448190bd223258b28fecc9 |
completed | May 7, 2026, 6:51 p.m. |
| NEDg | Description generation | batch_69fce113c11481908751ecf62afc29a5 |
completed | May 7, 2026, 6:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce1a848f081909d96849a14230be1 |
completed | May 7, 2026, 7:02 p.m. |
Created at: April 10, 2026, 12:53 a.m.