Triple
T9358604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Heidegger’s Experiment |
E225214
|
entity |
| Predicate | exploresHumanNature |
P88133
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Dr. Heidegger’s Experiment, exploresHumanNature, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exploresHumanNature Context triple: [Dr. Heidegger’s Experiment, exploresHumanNature, true]
-
A.
attitudeTowardHumanNature
Indicates an entity’s evaluative stance or belief about the fundamental characteristics and tendencies of human nature.
-
B.
explores
Indicates actively investigating, traveling through, or examining something in order to discover or learn more about it.
-
C.
exploresQuestion
Indicates that an entity actively investigates, examines, or probes a question to gain deeper understanding or insight.
-
D.
explored
Indicates that an entity has traveled through, examined, or investigated another entity or area, typically to discover or learn more about it.
-
E.
explorationSubject
Indicates that an entity is the focus or target of an exploration, investigation, or exploratory activity carried out by another entity.
- F. None of above. chosen
Provenance (4 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_69ca842bdd648190904131d58620d448 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4ff19ab48190a8d85c8ac2644c89 |
completed | April 1, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69cc7a68ab9481909f97cb70764697cc |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc955a38108190b602d1e73725f11b |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:42 p.m.