Triple
T8440660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger Lloyd-Pack |
E199342
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object |
Trigger
Trigger is a dim-witted yet lovable road sweeper from the British sitcom "Only Fools and Horses," known for his deadpan delivery and iconic broom joke.
|
E733541
|
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: Trigger | Statement: [Roger Lloyd-Pack, characterPortrayed, Trigger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trigger Context triple: [Roger Lloyd-Pack, characterPortrayed, Trigger]
-
A.
Trigger
Trigger was the famous golden palomino horse best known as Roy Rogers’ iconic movie and television mount in mid-20th-century Westerns.
-
B.
Trigger
Trigger is a Canadian drama film featuring Molly Parker in a leading role.
-
C.
The Trigger
The Trigger is a science fiction novel by Michael P. Kube-McDowell (from a story by Arthur C. Clarke) that explores the social and political consequences of a technology capable of detonating or neutralizing explosives at a distance.
-
D.
Trace
Trace is a large-scale installation by Chinese artist Ai Weiwei composed of thousands of LEGO portraits depicting political prisoners and activists from around the world.
-
E.
Trieb
Trieb is a district or locality within the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
- 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: Trigger Triple: [Roger Lloyd-Pack, characterPortrayed, Trigger]
Generated description
Trigger is a dim-witted yet lovable road sweeper from the British sitcom "Only Fools and Horses," known for his deadpan delivery and iconic broom joke.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trigger Target entity description: Trigger is a dim-witted yet lovable road sweeper from the British sitcom "Only Fools and Horses," known for his deadpan delivery and iconic broom joke.
-
A.
Trigger
Trigger was the famous golden palomino horse best known as Roy Rogers’ iconic movie and television mount in mid-20th-century Westerns.
-
B.
Trigger
Trigger is a Canadian drama film featuring Molly Parker in a leading role.
-
C.
The Trigger
The Trigger is a science fiction novel by Michael P. Kube-McDowell (from a story by Arthur C. Clarke) that explores the social and political consequences of a technology capable of detonating or neutralizing explosives at a distance.
-
D.
Trace
Trace is a large-scale installation by Chinese artist Ai Weiwei composed of thousands of LEGO portraits depicting political prisoners and activists from around the world.
-
E.
Trieb
Trieb is a district or locality within the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe138a94081908e306d22aaa39b24 |
completed | March 31, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1d9140b48190ad0c493948a3de5e |
completed | April 2, 2026, 7:41 a.m. |
| NEDg | Description generation | batch_69ce1f12e1a081909d28b06c520353ef |
completed | April 2, 2026, 7:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce1fb498448190a2737b8895f6bb48 |
completed | April 2, 2026, 7:50 a.m. |
Created at: March 30, 2026, 6:08 p.m.