Triple
T4330221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pie in the Sky |
E96730
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Henry Crabbe
Henry Crabbe is the fictional, food-loving detective and reluctant policeman who runs a restaurant while solving crimes in the British television series "Pie in the Sky."
|
E430777
|
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: Henry Crabbe | Statement: [Pie in the Sky, character, Henry Crabbe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Crabbe Context triple: [Pie in the Sky, character, Henry Crabbe]
-
A.
Henry Lamb
Henry Lamb was a British painter known for his figurative works and powerful depictions of World War I soldiers and scenes.
-
B.
Thomas Archer
Thomas Archer was a prominent early 18th-century English Baroque architect known for his dynamic church designs and grand country houses.
-
C.
Turville Heath
Turville Heath is a small hamlet in Buckinghamshire, England, known for its rural setting and traditional Chilterns landscape.
-
D.
Henry Hedge
Henry Hedge was a 19th-century American transcendentalist thinker and clergyman associated with the influential Transcendental Club.
-
E.
Arthur Chesney
Arthur Chesney was a British actor known for his character roles in early 20th-century stage and film productions.
- 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: Henry Crabbe Triple: [Pie in the Sky, character, Henry Crabbe]
Generated description
Henry Crabbe is the fictional, food-loving detective and reluctant policeman who runs a restaurant while solving crimes in the British television series "Pie in the Sky."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Henry Crabbe Target entity description: Henry Crabbe is the fictional, food-loving detective and reluctant policeman who runs a restaurant while solving crimes in the British television series "Pie in the Sky."
-
A.
Henry Lamb
Henry Lamb was a British painter known for his figurative works and powerful depictions of World War I soldiers and scenes.
-
B.
Thomas Archer
Thomas Archer was a prominent early 18th-century English Baroque architect known for his dynamic church designs and grand country houses.
-
C.
Turville Heath
Turville Heath is a small hamlet in Buckinghamshire, England, known for its rural setting and traditional Chilterns landscape.
-
D.
Henry Hedge
Henry Hedge was a 19th-century American transcendentalist thinker and clergyman associated with the influential Transcendental Club.
-
E.
Arthur Chesney
Arthur Chesney was a British actor known for his character roles in early 20th-century stage and film productions.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3514c39748190900e13e70ed8848c |
completed | March 12, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d09fad588190b488012b4fc6cb8c |
completed | March 14, 2026, 9:18 p.m. |
| NEDg | Description generation | batch_69b5d1614b008190bc98fac7b1029456 |
completed | March 14, 2026, 9:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5d1c2f77c8190942be9d23c2c9f6b |
completed | March 14, 2026, 9:23 p.m. |
Created at: March 12, 2026, 11:13 p.m.