Triple
T6165028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Soldier |
E137535
|
entity |
| Predicate | openingQuatrainFocus |
P27129
|
FINISHED |
| Object | the soldier’s imagined death |
—
|
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: the soldier’s imagined death | Statement: [The Soldier, openingQuatrainFocus, the soldier’s imagined death]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingQuatrainFocus Context triple: [The Soldier, openingQuatrainFocus, the soldier’s imagined death]
-
A.
notableQuatrain
Indicates that the subject is a four-line verse (quatrain) that is recognized as notable, significant, or especially well-known.
-
B.
openingVerseTheme
chosen
Indicates the primary idea or motif expressed in the opening verse of a text, song, or poem.
-
C.
openingVerseType
Indicates the specific kind or category of an opening verse used at the beginning of a text, performance, or composition.
-
D.
openingLine
Indicates that one entity is the first line or initial statement that begins another entity, such as a text, speech, or conversation.
-
E.
openingTheme
Indicates that one entity serves as the opening theme (such as a song or musical piece) for another entity, typically a show, series, or similar work.
- 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_69c008a54fc88190b6ce4416490ca79d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d6225bc819097707be620681e7b |
completed | March 22, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69c055f5b81481908819515cdc334ae6 |
completed | March 22, 2026, 8:49 p.m. |
Created at: March 22, 2026, 4:17 p.m.