Triple
T26554460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bell Atlantic |
E671763
|
entity |
| Predicate | brandLaterUsedIn |
P137950
|
FINISHED |
| Object |
Bell Atlantic Mobile
Bell Atlantic Mobile was a major U.S. wireless telecommunications provider that later became part of Verizon Wireless following industry mergers and rebranding.
|
E671763
|
NE FINISHED |
How this triple was built (3 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: Bell Atlantic Mobile | Statement: [Bell Atlantic, brandLaterUsedIn, Bell Atlantic Mobile]
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: Bell Atlantic Mobile Triple: [Bell Atlantic, brandLaterUsedIn, Bell Atlantic Mobile]
Generated description
Bell Atlantic Mobile was a major U.S. wireless telecommunications provider that later became part of Verizon Wireless following industry mergers and rebranding.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandLaterUsedIn Context triple: [Bell Atlantic, brandLaterUsedIn, Bell Atlantic Mobile]
-
A.
brandNameUsedIn
Indicates that a particular brand name is used or appears within a specified context, such as a product, document, or communication.
-
B.
brandUsage
Indicates that one entity uses, features, or is associated with another entity’s brand in its products, services, or communications.
-
C.
brandIncorporatedInto
chosen
Indicates that one brand has been merged into, absorbed by, or otherwise formally integrated as part of another brand.
-
D.
namedBrandAfter
Indicates that one brand has been given a name derived from or in honor of another entity.
-
E.
usedBrand
Indicates that an entity has utilized, applied, or operated a particular brand in some context.
- F. None of above.
Provenance (6 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_69eeb32163f08190af5f81282738e27a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f61a17a7788190946f7e32d63cd43f |
completed | May 2, 2026, 3:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a11c81fe7348190ab4e58840ef3f7d4 |
completed | May 23, 2026, 3:30 p.m. |
| NEDg | Description generation | batch_6a11c919c3d08190ae5cc3a21f5257be |
completed | May 23, 2026, 3:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a11ca2243988190a158631f4b94e205 |
completed | May 23, 2026, 3:39 p.m. |
| PD | Predicate disambiguation | batch_69f611ab768c8190b1849c15a3e59dda |
completed | May 2, 2026, 3 p.m. |
Created at: April 27, 2026, 1:49 a.m.