Triple
T7440229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenock Morton F.C. |
E171730
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
Morton
Morton is a Scottish professional football club based in Greenock, Renfrewshire, known for competing in the Scottish league system.
|
E664844
|
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: Morton | Statement: [Greenock Morton F.C., shortName, Morton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morton Context triple: [Greenock Morton F.C., shortName, Morton]
-
A.
Morton
Morton is a timid yet loyal mouse-like creature in the animated film "Horton Hears a Who!" who serves as Horton's cautious but supportive friend.
-
B.
Morton
Morton is the given first name of Mort Sahl, the influential Canadian-American stand-up comedian known for his pioneering political satire.
-
C.
Morton
Morton is a village and civil parish located within the historic district of Kesteven in Lincolnshire, England.
-
D.
Morton
Morton is a common English surname of Norman origin, borne by numerous notable individuals across politics, sports, and the arts.
-
E.
Moston
Moston is a residential district in north Manchester, England, known for its mix of traditional terraced housing, local parks, and community amenities.
- 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: Morton Triple: [Greenock Morton F.C., shortName, Morton]
Generated description
Morton is a Scottish professional football club based in Greenock, Renfrewshire, known for competing in the Scottish league system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Morton Target entity description: Morton is a Scottish professional football club based in Greenock, Renfrewshire, known for competing in the Scottish league system.
-
A.
Morton
Morton is a timid yet loyal mouse-like creature in the animated film "Horton Hears a Who!" who serves as Horton's cautious but supportive friend.
-
B.
Morton
Morton is the given first name of Mort Sahl, the influential Canadian-American stand-up comedian known for his pioneering political satire.
-
C.
Morton
Morton is a village and civil parish located within the historic district of Kesteven in Lincolnshire, England.
-
D.
Morton
Morton is a common English surname of Norman origin, borne by numerous notable individuals across politics, sports, and the arts.
-
E.
Moston
Moston is a residential district in north Manchester, England, known for its mix of traditional terraced housing, local parks, and community amenities.
- 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f34d84008190936af2b3670ef210 |
completed | March 27, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c82791ff2c81909967f145d24ff036 |
completed | March 28, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69c828420ebc8190bd124a53de185032 |
completed | March 28, 2026, 7:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c828a5c2f88190aedd55d40520c672 |
completed | March 28, 2026, 7:14 p.m. |
Created at: March 27, 2026, 3:13 p.m.