Triple
T10674996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jinn |
E251592
|
entity |
| Predicate | sharesAttributeWith |
P5696
|
FINISHED |
| Object | humans in having free will |
—
|
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: humans in having free will | Statement: [Jinn, sharesAttributeWith, humans in having free will]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesAttributeWith Context triple: [Jinn, sharesAttributeWith, humans in having free will]
-
A.
sharesNameWith
Indicates that two entities have the same name or an identical naming designation.
-
B.
sharesFeatureWith
chosen
Indicates that two entities have at least one common attribute, property, or characteristic in common.
-
C.
sharesRuleWith
Indicates that two or more entities are governed by, comply with, or are associated with the same rule or set of rules.
-
D.
sharesUniverseWith
Indicates that two entities exist within the same fictional or narrative universe, implying shared continuity, setting, or canon.
-
E.
sharesIdentityWith
Indicates that two entities are considered to have the same identity, referring to the very same underlying individual or object rather than merely being similar or related.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fb935ca88190b1312d3d53902af5 |
completed | April 9, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69d6dd8a93208190a573061387e2aebb |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:09 p.m.