Triple
T7658108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Human Enhancement |
E173435
|
entity |
| Predicate | hasProponentPosition |
P31611
|
FINISHED |
| Object | transhumanist support for enhancement |
—
|
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: transhumanist support for enhancement | Statement: [Human Enhancement, hasProponentPosition, transhumanist support for enhancement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProponentPosition Context triple: [Human Enhancement, hasProponentPosition, transhumanist support for enhancement]
-
A.
hasMainProponent
Indicates that one entity is the primary advocate, champion, or leading supporter of another entity.
-
B.
hasAuthorPoliticalPosition
Indicates that an author holds or is associated with a specific political position or stance.
-
C.
hasPoliticalPositionOn
Indicates that an entity holds or expresses a specific stance, view, or opinion regarding a political issue, policy, or topic.
-
D.
hasIdeologicalPosition
chosen
Indicates that an entity holds, endorses, or is associated with a particular ideological stance or viewpoint.
-
E.
politicalPositionAssociated
Indicates that there is an association between an entity and a specific political position, role, or office.
- 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7061cbc3c8190a917dd7e71214182 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015dd8fc8190bc5f52a12bd46209 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 3:59 p.m.