Triple
T19555921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motherwell F.C. |
E489309
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
Well
Well is the commonly used nickname for Motherwell Football Club, a professional football team based in Motherwell, Scotland.
|
E1384028
|
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: Well | Statement: [Motherwell F.C., hasNickname, Well]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Well Context triple: [Motherwell F.C., hasNickname, Well]
-
A.
Well
Well is a critically acclaimed autobiographical play by Lisa Kron that blends humor and drama to explore themes of illness, identity, and the complexities of mother-daughter relationships.
-
B.
Good for It
"Good for It" is a track featured on the mixtape "NAV" by Canadian rapper and producer Nav.
-
C.
All Shall Be Well
All Shall Be Well is a choral composition by contemporary British composer Roxanna Panufnik, known for its luminous harmonies and spiritually reflective character.
-
D.
Nice Work
Nice Work is a British television drama adaptation of David Lodge's campus novel, featuring Warren Clarke in a leading role.
-
E.
The Wellspring
The Wellspring is a poetry collection by Sharon Olds that explores themes of family, sexuality, and motherhood in her characteristically intimate and emotionally direct style.
- 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: Well Triple: [Motherwell F.C., hasNickname, Well]
Generated description
Well is the commonly used nickname for Motherwell Football Club, a professional football team based in Motherwell, Scotland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Well Target entity description: Well is the commonly used nickname for Motherwell Football Club, a professional football team based in Motherwell, Scotland.
-
A.
Well
Well is a critically acclaimed autobiographical play by Lisa Kron that blends humor and drama to explore themes of illness, identity, and the complexities of mother-daughter relationships.
-
B.
Good for It
"Good for It" is a track featured on the mixtape "NAV" by Canadian rapper and producer Nav.
-
C.
All Shall Be Well
All Shall Be Well is a choral composition by contemporary British composer Roxanna Panufnik, known for its luminous harmonies and spiritually reflective character.
-
D.
Nice Work
Nice Work is a British television drama adaptation of David Lodge's campus novel, featuring Warren Clarke in a leading role.
-
E.
The Wellspring
The Wellspring is a poetry collection by Sharon Olds that explores themes of family, sexuality, and motherhood in her characteristically intimate and emotionally direct style.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d341d708190b8ef35822f8bfe7c |
completed | April 20, 2026, 2:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07577e66c4819080298e223c2ece16 |
completed | May 15, 2026, 5:27 p.m. |
| NEDg | Description generation | batch_6a07583fc26481908bd2f00c19f3b4cd |
completed | May 15, 2026, 5:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07594a23ac81908807df4605555d3f |
completed | May 15, 2026, 5:35 p.m. |
Created at: April 10, 2026, 1:42 p.m.