Triple
T11253506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Ken |
E266379
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Morning Hymn |
E142795
|
NE FINISHED |
How this triple was built (2 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 Hymn | Statement: [Thomas Ken, notableWork, Morning Hymn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morning Hymn Context triple: [Thomas Ken, notableWork, Morning Hymn]
-
A.
Morning and Evening
Morning and Evening is a classic daily devotional by Charles Spurgeon, offering Scripture-based reflections for both the start and close of each day.
-
B.
Morning Light
Morning Light is a song by Indian singer and actress Amala, known for its gentle, uplifting tone and melodic style.
-
C.
Matins
chosen
Matins is a traditional Christian liturgical service of morning prayer, especially prominent in monastic and Orthodox worship.
-
D.
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.
-
E.
The Morning
"The Morning" is a painting by 18th-century French artist Joseph Vernet, best known for his atmospheric seascapes and landscape scenes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e933648481909873094bc89ed041 |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4cc941d34819099ae30713bdd03e5 |
completed | April 19, 2026, 12:37 p.m. |
Created at: April 8, 2026, 9:31 p.m.