Triple
T1207186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derbion |
E25915
|
entity |
| Predicate | hasAnchorTenant |
P11754
|
FINISHED |
| Object |
Next
Next is a major British multinational clothing, footwear, and home products retailer known for its extensive high-street and online presence.
|
E137849
|
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: Next | Statement: [Derbion, hasAnchorTenant, Next]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Next Context triple: [Derbion, hasAnchorTenant, Next]
-
A.
NEXT
NEXT is the stock ticker symbol for NeXT Inc., the computer company founded by Steve Jobs after he left Apple, known for its influential workstation computers and software.
-
B.
Yet Another Next Generation
Yet Another Next Generation is the full name behind the acronym YANG, a data modeling language widely used to define configuration and state data for network management protocols.
-
C.
Forward
Forward is the state motto of Wisconsin, expressing its emphasis on progress and continual improvement.
-
D.
N
The N is a New York City Subway service that runs along the Broadway Line in Manhattan and connects Queens, Manhattan, and Brooklyn.
-
E.
Nav
Nav is a Canadian rapper, singer, songwriter, and record producer known for his melodic trap sound and collaborations with prominent hip-hop artists.
- 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: Next Triple: [Derbion, hasAnchorTenant, Next]
Generated description
Next is a major British multinational clothing, footwear, and home products retailer known for its extensive high-street and online presence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Next Target entity description: Next is a major British multinational clothing, footwear, and home products retailer known for its extensive high-street and online presence.
-
A.
NEXT
NEXT is the stock ticker symbol for NeXT Inc., the computer company founded by Steve Jobs after he left Apple, known for its influential workstation computers and software.
-
B.
Yet Another Next Generation
Yet Another Next Generation is the full name behind the acronym YANG, a data modeling language widely used to define configuration and state data for network management protocols.
-
C.
Forward
Forward is the state motto of Wisconsin, expressing its emphasis on progress and continual improvement.
-
D.
N
The N is a New York City Subway service that runs along the Broadway Line in Manhattan and connects Queens, Manhattan, and Brooklyn.
-
E.
Nav
Nav is a Canadian rapper, singer, songwriter, and record producer known for his melodic trap sound and collaborations with prominent hip-hop artists.
- 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bdc483b481908e5bfef5d2f4fc5a |
completed | March 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7f3f4c508190bdc3d436d393daf9 |
completed | March 7, 2026, 7:40 p.m. |
| NEDg | Description generation | batch_69ac7fc59a488190adbdf156aaff8c03 |
completed | March 7, 2026, 7:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac806a6d748190acc5cdfa8fb90a64 |
completed | March 7, 2026, 7:45 p.m. |
Created at: March 1, 2026, 7:46 p.m.