Triple
T9111188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doctor Faustus (opera) |
E218602
|
entity |
| Predicate | narrativeOutcomeForProtagonist |
P86129
|
FINISHED |
| Object | damnation |
—
|
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: damnation | Statement: [Doctor Faustus (opera), narrativeOutcomeForProtagonist, damnation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativeOutcomeForProtagonist Context triple: [Doctor Faustus (opera), narrativeOutcomeForProtagonist, damnation]
-
A.
hasNarrativeOutcome
chosen
Indicates that an event, action, or narrative element leads to or results in a particular story-related consequence or resolution.
-
B.
narrativeConsequence
Indicates that one event, action, or state occurs as a direct result or outcome of another within a narrative sequence.
-
C.
narrativeGoal
Indicates that one entity has a desired outcome or objective within a story or narrative context that drives their actions or development.
-
D.
describesOutcomeOf
Indicates that one entity specifies or characterizes the result, consequence, or outcome produced by another entity or process.
-
E.
outcomeOf
Indicates that one entity is the result, consequence, or product that arises from another entity, event, or process.
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca847102881908f9d86ce9883fb1a |
completed | April 1, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69cc65fe5be081909d4470d6317b14a6 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:16 p.m.