Triple
T12166992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gardner Dozois |
E289858
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Morning Child
"Morning Child" is a science fiction work by acclaimed editor and author Gardner Dozois, recognized among his notable stories in the genre.
|
E966667
|
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: Morning Child | Statement: [Gardner Dozois, notableWork, Morning Child]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morning Child Context triple: [Gardner Dozois, notableWork, Morning Child]
-
A.
The Morning
"The Morning" is a moody, atmospheric R&B track by The Weeknd, known for its hazy production and themes of hedonism and disillusionment.
-
B.
The Morning
"The Morning" is a painting by 18th-century French artist Joseph Vernet, best known for his atmospheric seascapes and landscape scenes.
-
C.
Morning Light
Morning Light is a song by Indian singer and actress Amala, known for its gentle, uplifting tone and melodic style.
-
D.
Til the Morning
"Til the Morning" is an R&B studio album by American singer Keith Sweat, showcasing his signature smooth, romantic slow jams and contemporary soul sound.
-
E.
Tomorrow Morning
"Tomorrow Morning" is a musical by British composer Laurence Mark Wythe that intertwines the stories of a couple on the brink of marriage and the same pair facing divorce a decade later.
- 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: Morning Child Triple: [Gardner Dozois, notableWork, Morning Child]
Generated description
"Morning Child" is a science fiction work by acclaimed editor and author Gardner Dozois, recognized among his notable stories in the genre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Morning Child Target entity description: "Morning Child" is a science fiction work by acclaimed editor and author Gardner Dozois, recognized among his notable stories in the genre.
-
A.
The Morning
"The Morning" is a moody, atmospheric R&B track by The Weeknd, known for its hazy production and themes of hedonism and disillusionment.
-
B.
The Morning
"The Morning" is a painting by 18th-century French artist Joseph Vernet, best known for his atmospheric seascapes and landscape scenes.
-
C.
Morning Light
Morning Light is a song by Indian singer and actress Amala, known for its gentle, uplifting tone and melodic style.
-
D.
Til the Morning
"Til the Morning" is an R&B studio album by American singer Keith Sweat, showcasing his signature smooth, romantic slow jams and contemporary soul sound.
-
E.
Tomorrow Morning
"Tomorrow Morning" is a musical by British composer Laurence Mark Wythe that intertwines the stories of a couple on the brink of marriage and the same pair facing divorce a decade later.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d85c088190a74fb7590877659b |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6a2716081909620a9d11cfcc2d8 |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f6018043f48190a3062de4e0d4a3f5 |
completed | May 2, 2026, 1:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60232d89881909f254da6deb7f321 |
completed | May 2, 2026, 1:54 p.m. |
Created at: April 8, 2026, 9:50 p.m.