Triple
T19010106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | June Callwood |
E465198
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Emmie in the Night
Emmie in the Night is a children's book by Canadian journalist and author June Callwood.
|
E1353264
|
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: Emmie in the Night | Statement: [June Callwood, notableWork, Emmie in the Night]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emmie in the Night Context triple: [June Callwood, notableWork, Emmie in the Night]
-
A.
Kleine Emme
Kleine Emme is a river in central Switzerland that flows through the canton of Lucerne before joining the Reuss River.
-
B.
Bedtime Story
"Bedtime Story" is a 1964 comedy film about two con men on the French Riviera, later famously remade as "Dirty Rotten Scoundrels."
-
C.
Bedtime Story
"Bedtime Story" is a song by American rapper GoldLink, known for its smooth, melodic flow and introspective lyrics over a laid-back, groove-driven production.
-
D.
Bedtime
"Bedtime" is a British television drama series best known for its intimate, character-driven stories set around the lives of neighbors in a suburban street at night.
-
E.
The Little Girls
The Little Girls is a 1964 novel by Elizabeth Bowen that explores memory, aging, and the lingering impact of childhood through the reunion of three former schoolfriends.
- 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: Emmie in the Night Triple: [June Callwood, notableWork, Emmie in the Night]
Generated description
Emmie in the Night is a children's book by Canadian journalist and author June Callwood.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emmie in the Night Target entity description: Emmie in the Night is a children's book by Canadian journalist and author June Callwood.
-
A.
Kleine Emme
Kleine Emme is a river in central Switzerland that flows through the canton of Lucerne before joining the Reuss River.
-
B.
Bedtime Story
"Bedtime Story" is a 1964 comedy film about two con men on the French Riviera, later famously remade as "Dirty Rotten Scoundrels."
-
C.
Bedtime Story
"Bedtime Story" is a song by American rapper GoldLink, known for its smooth, melodic flow and introspective lyrics over a laid-back, groove-driven production.
-
D.
Bedtime
"Bedtime" is a British television drama series best known for its intimate, character-driven stories set around the lives of neighbors in a suburban street at night.
-
E.
The Little Girls
The Little Girls is a 1964 novel by Elizabeth Bowen that explores memory, aging, and the lingering impact of childhood through the reunion of three former schoolfriends.
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6a8225c81908e80ae7eb1c1301b |
completed | April 20, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05b465ee5481908b7f698a4ee01c75 |
completed | May 14, 2026, 11:39 a.m. |
| NEDg | Description generation | batch_6a05b4ff2a508190b1e53185ed95e7e9 |
completed | May 14, 2026, 11:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05b5689068819087a326219b3ad9e0 |
completed | May 14, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:02 p.m.