Triple
T14506660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuart Hameroff |
E340279
|
entity |
| Predicate | hasNotablePublicationTopic |
P494
|
FINISHED |
| Object | quantum coherence in microtubules |
—
|
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: quantum coherence in microtubules | Statement: [Stuart Hameroff, hasNotablePublicationTopic, quantum coherence in microtubules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotablePublicationTopic Context triple: [Stuart Hameroff, hasNotablePublicationTopic, quantum coherence in microtubules]
-
A.
hasNotablePublicationType
Indicates that an entity is associated with a publication of a specific notable type or category.
-
B.
hasNotableResearchOutput
Indicates that an entity is associated with significant, recognized, or influential research results or publications.
-
C.
hasNotableScholar
Indicates that an entity is associated with a scholar who is recognized as particularly distinguished or influential in relation to that entity.
-
D.
hasNotableSubject
chosen
Indicates that an entity is associated with a subject that is particularly significant, prominent, or noteworthy in relation to it.
-
E.
notablePublicationAbout
Indicates that one entity is a significant or widely recognized publication whose content is about, analyzes, or prominently features 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e40e44819084f323f8f9982b75 |
completed | April 14, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69de5c4ccba08190a988bfda0bc9f5cb |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:21 a.m.