Triple
T22397413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horst Dassler |
E553670
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object |
ISL
ISL was a sports marketing and media company closely linked to Adidas and known for pioneering commercial deals in international football and Olympic sports.
|
E1534655
|
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: ISL | Statement: [Horst Dassler, founded, ISL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ISL Context triple: [Horst Dassler, founded, ISL]
-
A.
ISL
ISL is the official three-letter administrative code used to identify the London Borough of Islington.
-
B.
ISL
ISL is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Iceland in international standards and data systems.
-
C.
ISL
ISL is the commonly used abbreviation for the Independent School League, an athletic conference of New England preparatory schools.
-
D.
ISL
ISL is the primary sign language used by the Deaf community in Ireland, distinct from both British and American Sign Languages.
-
E.
ISL
ISL is the Illinois State Library, the official state government library that supports Illinois agencies, libraries, and residents with information resources and services.
- 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: ISL Triple: [Horst Dassler, founded, ISL]
Generated description
ISL was a sports marketing and media company closely linked to Adidas and known for pioneering commercial deals in international football and Olympic sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ISL Target entity description: ISL was a sports marketing and media company closely linked to Adidas and known for pioneering commercial deals in international football and Olympic sports.
-
A.
ISL
ISL is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Iceland in international standards and data systems.
-
B.
ISL
ISL is the commonly used abbreviation for the Independent School League, an athletic conference of New England preparatory schools.
-
C.
ISL
ISL is the official three-letter administrative code used to identify the London Borough of Islington.
-
D.
ISL
ISL is the primary sign language used by the Deaf community in Ireland, distinct from both British and American Sign Languages.
-
E.
ISL
ISL is the Illinois State Library, the official state government library that supports Illinois agencies, libraries, and residents with information resources and services.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1585f67108190b8d3f23eaa0ed120 |
completed | April 29, 2026, 1:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae9c8d11081909472ba3dc07c52f8 |
completed | May 18, 2026, 10:28 a.m. |
| NEDg | Description generation | batch_6a0aeacb18c48190a6f8d239a104959d |
completed | May 18, 2026, 10:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aeb6252248190a7cb0df06afd4db2 |
completed | May 18, 2026, 10:35 a.m. |
Created at: April 16, 2026, 8:45 p.m.