Triple
T2604332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Littlewoods Cup |
E58621
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object |
Littlewoods
Littlewoods is a British retail and football pools company historically known for its mail-order catalogues and high-street stores.
|
E281514
|
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: Littlewoods | Statement: [Littlewoods Cup, sponsor, Littlewoods]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Littlewoods Context triple: [Littlewoods Cup, sponsor, Littlewoods]
-
A.
Waddington
Waddington is a small village and civil parish in Lancashire, England, known for its picturesque setting in the Ribble Valley and traditional stone-built architecture.
-
B.
Smallwood
Smallwood is an English-language surname borne by various notable individuals across fields such as politics, sports, and the arts.
-
C.
Mills Hill
Mills Hill is a railway station in Greater Manchester, England, serving the local communities of Middleton and Chadderton.
-
D.
Heywood
Heywood is a town in Greater Manchester, England, historically part of Lancashire and known for its industrial heritage.
-
E.
Bricket Wood
Bricket Wood is a village and residential community in Hertfordshire, England, known for its commuter links to London and surrounding countryside.
- 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: Littlewoods Triple: [Littlewoods Cup, sponsor, Littlewoods]
Generated description
Littlewoods is a British retail and football pools company historically known for its mail-order catalogues and high-street stores.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Littlewoods Target entity description: Littlewoods is a British retail and football pools company historically known for its mail-order catalogues and high-street stores.
-
A.
Waddington
Waddington is a small village and civil parish in Lancashire, England, known for its picturesque setting in the Ribble Valley and traditional stone-built architecture.
-
B.
Smallwood
Smallwood is an English-language surname borne by various notable individuals across fields such as politics, sports, and the arts.
-
C.
Mills Hill
Mills Hill is a railway station in Greater Manchester, England, serving the local communities of Middleton and Chadderton.
-
D.
Heywood
Heywood is a town in Greater Manchester, England, historically part of Lancashire and known for its industrial heritage.
-
E.
Bricket Wood
Bricket Wood is a village and residential community in Hertfordshire, England, known for its commuter links to London and surrounding countryside.
- 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8340eac819084eb1fe6f0ac0aa0 |
completed | March 7, 2026, 7:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83d6daa4819087ee111e648ce71d |
completed | March 10, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69af851e85e0819080d57dc7dbd3a901 |
completed | March 10, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af858561f48190b7a2863d733a1b13 |
completed | March 10, 2026, 2:44 a.m. |
Created at: March 6, 2026, 9:49 p.m.