Triple
T5706616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Authentic Brands Group |
E125797
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
ABG
ABG is a global brand development, marketing, and entertainment company known for owning and managing a large portfolio of consumer brands and intellectual property.
|
E539235
|
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: ABG | Statement: [Authentic Brands Group, abbreviation, ABG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ABG Context triple: [Authentic Brands Group, abbreviation, ABG]
-
A.
ABG
ABG is the vehicle registration code used on license plates for vehicles registered in the Altenburger Land district in Germany.
-
B.
ADGB
ADGB was the main federation of free trade unions in Germany during the Weimar Republic, representing millions of workers until its suppression by the Nazi regime.
-
C.
ABY
ABY is the IATA airport code for Southwest Georgia Regional Airport serving Albany, Georgia.
-
D.
AGBO
AGBO is an American film and television production company founded by Anthony and Joe Russo, known for producing high-profile genre-bending and blockbuster projects.
-
E.
HBG
HBG was a major Dutch construction and civil engineering company known for large-scale infrastructure and building projects in the Netherlands and abroad.
- 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: ABG Triple: [Authentic Brands Group, abbreviation, ABG]
Generated description
ABG is a global brand development, marketing, and entertainment company known for owning and managing a large portfolio of consumer brands and intellectual property.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ABG Target entity description: ABG is a global brand development, marketing, and entertainment company known for owning and managing a large portfolio of consumer brands and intellectual property.
-
A.
ABG
ABG is the vehicle registration code used on license plates for vehicles registered in the Altenburger Land district in Germany.
-
B.
ADGB
ADGB was the main federation of free trade unions in Germany during the Weimar Republic, representing millions of workers until its suppression by the Nazi regime.
-
C.
ABY
ABY is the IATA airport code for Southwest Georgia Regional Airport serving Albany, Georgia.
-
D.
AGBO
AGBO is an American film and television production company founded by Anthony and Joe Russo, known for producing high-profile genre-bending and blockbuster projects.
-
E.
HBG
HBG was a major Dutch construction and civil engineering company known for large-scale infrastructure and building projects in the Netherlands and abroad.
- 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_69c0082d6fe48190b777fb383769e5c8 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0248751bc8190b12aaa42d1ef17e3 |
completed | March 22, 2026, 5:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a6c17608190a9a808c2c77d937c |
completed | March 22, 2026, 9:09 p.m. |
| NEDg | Description generation | batch_69c05b7b57d481909f830a6cf7f59c3e |
completed | March 22, 2026, 9:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05c2046c48190a5d100f2dfad8d7b |
completed | March 22, 2026, 9:16 p.m. |
Created at: March 22, 2026, 3:45 p.m.