Triple
T13956820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edgar D. Mitchell |
E335684
|
entity |
| Predicate | allegedUFOInterest |
P19573
|
FINISHED |
| Object | advocated for UFO disclosure |
—
|
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: advocated for UFO disclosure | Statement: [Edgar D. Mitchell, allegedUFOInterest, advocated for UFO disclosure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allegedUFOInterest Context triple: [Edgar D. Mitchell, allegedUFOInterest, advocated for UFO disclosure]
-
A.
allegedPhenomenon
Indicates that something is claimed or reported to be a phenomenon, but its existence, cause, or nature is uncertain or disputed.
-
B.
isExtraterrestrial
Indicates that an entity originates from or belongs to a location beyond Earth.
-
C.
hasPerspectiveOnParanormal
chosen
Indicates that one entity holds a particular view, belief, or attitude regarding paranormal phenomena in relation to another entity or topic.
-
D.
hasScientificInterestIn
Indicates that one entity holds a scientific curiosity, concern, or research focus directed toward another entity.
-
E.
focusesOnMysteries
Indicates that the subject concentrates attention or effort specifically on mysteries, such as puzzling events, unknown phenomena, or unsolved cases.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e7a34f08190aa0d88b66154f268 |
completed | April 14, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69de05a3ccf88190b45c742db483fa08 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:17 p.m.