Triple
T5045261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genesis |
E113646
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object |
Brand X
Brand X is a musical act connected to the rock band Genesis, known primarily for its association with members of that group.
|
E489225
|
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: Brand X | Statement: [Genesis, associatedAct, Brand X]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brand X Context triple: [Genesis, associatedAct, Brand X]
-
A.
Lifebuoy
Lifebuoy is a long-established global soap and hygiene brand known for its antibacterial products and health-focused marketing.
-
B.
Elder-Beerman
Elder-Beerman was a regional American department store chain known for selling apparel, home goods, and accessories, primarily in the Midwestern United States.
-
C.
United Brands Company
United Brands Company was a major American agribusiness and food conglomerate best known as the successor to the United Fruit Company and a key player in the global banana trade.
-
D.
Gala Brand
Gala Brand is a fictional Special Branch officer and Bond girl who appears in Ian Fleming’s James Bond novel "Moonraker."
-
E.
Crest
Crest is a well-known oral care brand, particularly recognized for its toothpastes and whitening products.
- 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: Brand X Triple: [Genesis, associatedAct, Brand X]
Generated description
Brand X is a musical act connected to the rock band Genesis, known primarily for its association with members of that group.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brand X Target entity description: Brand X is a musical act connected to the rock band Genesis, known primarily for its association with members of that group.
-
A.
Lifebuoy
Lifebuoy is a long-established global soap and hygiene brand known for its antibacterial products and health-focused marketing.
-
B.
Elder-Beerman
Elder-Beerman was a regional American department store chain known for selling apparel, home goods, and accessories, primarily in the Midwestern United States.
-
C.
United Brands Company
United Brands Company was a major American agribusiness and food conglomerate best known as the successor to the United Fruit Company and a key player in the global banana trade.
-
D.
Gala Brand
Gala Brand is a fictional Special Branch officer and Bond girl who appears in Ian Fleming’s James Bond novel "Moonraker."
-
E.
Crest
Crest is a well-known oral care brand, particularly recognized for its toothpastes and whitening products.
- 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73fd81788190b7799f519277119a |
completed | March 20, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c8ad6408190bf4408af7b095a12 |
completed | March 21, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_69be9f91ae7081908a00cf92b5461c75 |
completed | March 21, 2026, 1:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bea0155838819082b4b04e79641d65 |
completed | March 21, 2026, 1:41 p.m. |
Created at: March 20, 2026, 1:37 p.m.