Triple
T31888885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In the Bleak Midwinter |
E814080
|
entity |
| Predicate | containsStanza |
P6841
|
FINISHED |
| Object | "Our God, Heaven cannot hold Him" |
—
|
LITERAL 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: "Our God, Heaven cannot hold Him" | Statement: [In the Bleak Midwinter, containsStanza, "Our God, Heaven cannot hold Him"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsStanza Context triple: [In the Bleak Midwinter, containsStanza, "Our God, Heaven cannot hold Him"]
-
A.
hasAdditionalStanzas
Indicates that an item, such as a song or poem, includes one or more extra stanzas beyond a primary or standard set.
-
B.
includesElement
Indicates that one collection, set, or structure contains a specified element as a member or component.
-
C.
containsSyllable
Indicates that one linguistic unit, such as a word or morpheme, includes a particular syllable as part of its phonological structure.
-
D.
containsText
chosen
Indicates that one entity includes the specified text string within its content.
-
E.
chorusContains
Indicates that a chorus includes or is composed of the specified element(s) as part of its content.
- F. None of above.
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_69f348ef817481908440e2250319bcc8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ff9e91bba08190af04b31ad815b13a |
completed | May 9, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69ff9e00e4808190bde8f07e6519a72c |
completed | May 9, 2026, 8:50 p.m. |
Created at: April 30, 2026, 11:57 p.m.