Triple
T18085854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | stoned ape hypothesis |
E432831
|
entity |
| Predicate | claimsEffectOn |
P73867
|
FINISHED |
| Object | human consciousness |
—
|
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: human consciousness | Statement: [stoned ape hypothesis, claimsEffectOn, human consciousness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: claimsEffectOn Context triple: [stoned ape hypothesis, claimsEffectOn, human consciousness]
-
A.
claimsEffect
chosen
Indicates that one entity asserts or states that another entity has a particular effect or impact.
-
B.
closureImpact
Indicates the effect or consequences that a particular closure (such as a shutdown, ending, or termination) has on related entities or conditions.
-
C.
affectsBenefit
Indicates that one entity has an influence on, modifies, or determines the benefit or advantage received by another entity.
-
D.
canImpact
Indicates that one entity has the potential or ability to affect, influence, or cause a change in another entity.
-
E.
claimedSee
Indicates that one entity asserted or reported having seen or visually perceived another entity or event.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4d9fdb00c8190b4769699e94c8941 |
completed | April 19, 2026, 1:34 p.m. |
| PD | Predicate disambiguation | batch_69e4330e1f2881908b2506d47c48736b |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:27 a.m.