Triple
T8546410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Compo Simmonite |
E202335
|
entity |
| Predicate | hasLastName |
P18
|
FINISHED |
| Object |
Simmonite
Simmonite is the surname of the beloved comedic character Compo from the long-running British sitcom "Last of the Summer Wine."
|
E742187
|
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: Simmonite | Statement: [Compo Simmonite, hasLastName, Simmonite]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simmonite Context triple: [Compo Simmonite, hasLastName, Simmonite]
-
A.
Hagiorite
Hagiorite is an honorific epithet denoting a monk or saint associated with the monastic community of Mount Athos in Greece.
-
B.
Halesite
Halesite is a hamlet in the town of Huntington on Long Island, New York, known for its waterfront location along Huntington Harbor and its historic residential character.
-
C.
Zipolite
Zipolite is a small, laid-back beach town on Mexico’s Oaxacan coast, known for its clothing-optional beach, bohemian vibe, and strong Pacific surf.
-
D.
Fayence
Fayence is a picturesque hilltop village in southeastern France’s Var department, known for its medieval charm and proximity to the French Riviera.
-
E.
Beryl
Beryl is a given name that can be used for people of any gender, historically more common as a female name in English-speaking countries.
- 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: Simmonite Triple: [Compo Simmonite, hasLastName, Simmonite]
Generated description
Simmonite is the surname of the beloved comedic character Compo from the long-running British sitcom "Last of the Summer Wine."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Simmonite Target entity description: Simmonite is the surname of the beloved comedic character Compo from the long-running British sitcom "Last of the Summer Wine."
-
A.
Hagiorite
Hagiorite is an honorific epithet denoting a monk or saint associated with the monastic community of Mount Athos in Greece.
-
B.
Halesite
Halesite is a hamlet in the town of Huntington on Long Island, New York, known for its waterfront location along Huntington Harbor and its historic residential character.
-
C.
Zipolite
Zipolite is a small, laid-back beach town on Mexico’s Oaxacan coast, known for its clothing-optional beach, bohemian vibe, and strong Pacific surf.
-
D.
Fayence
Fayence is a picturesque hilltop village in southeastern France’s Var department, known for its medieval charm and proximity to the French Riviera.
-
E.
Beryl
Beryl is a given name that can be used for people of any gender, historically more common as a female name in English-speaking countries.
- 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_69ca832461e88190a654c5e44e233aa8 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe74f62148190bfd6cacf5d4f74b6 |
completed | March 31, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6dbbb12c819085d1abe289fd1f22 |
completed | April 2, 2026, 1:23 p.m. |
| NEDg | Description generation | batch_69ce71d9eac481908610589efa9f9ddd |
completed | April 2, 2026, 1:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce75b832248190b7273605cf5ff67a |
completed | April 2, 2026, 1:57 p.m. |
Created at: March 30, 2026, 6:19 p.m.