Triple
T19153555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Do not go gentle into that good night |
E468867
|
entity |
| Predicate | exploresTypeOfMen |
P42493
|
FINISHED |
| Object | wise men |
—
|
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: wise men | Statement: [Do not go gentle into that good night, exploresTypeOfMen, wise men]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exploresTypeOfMen Context triple: [Do not go gentle into that good night, exploresTypeOfMen, wise men]
-
A.
exploresHumanNature
Indicates a relationship in which a subject examines, analyzes, or reflects on fundamental aspects of human behavior, emotions, motivations, and identity.
-
B.
relationshipWithMen
Indicates a relationship or interaction that specifically involves men as one of the parties.
-
C.
exploresSexualOrientation
Indicates that an entity engages in examining, questioning, or discovering their own or another’s sexual orientation.
-
D.
peopleType
chosen
Indicates the classification or category of people an entity is associated with or represents.
-
E.
exploresRelationship
Indicates that one entity actively investigates, examines, or probes the nature, dynamics, or implications of its relationship with another entity.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eeb7575c8190b52a9d2bde5ac288 |
completed | April 20, 2026, 9:15 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b475d88190a8c15e8eb01dbfef |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:06 p.m.