Triple
T22068044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophia Afendaki (Sleeping Girl sculpture) |
E545329
|
entity |
| Predicate | hasSubjectPosture |
P42040
|
FINISHED |
| Object | reclining |
—
|
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: reclining | Statement: [Sophia Afendaki (Sleeping Girl sculpture), hasSubjectPosture, reclining]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubjectPosture Context triple: [Sophia Afendaki (Sleeping Girl sculpture), hasSubjectPosture, reclining]
-
A.
describesPosture
chosen
Indicates that one entity specifies or characterizes the bodily position or stance (posture) of another entity.
-
B.
hasSubjectPosition
Indicates that an entity occupies or is assigned to a particular subject role or position within a structure, context, or organization.
-
C.
hasSeatingPose
Indicates that an entity is in a seated posture or arrangement, specifying how it is positioned while sitting.
-
D.
hasLiturgicalPosture
Indicates that an entity is associated with a specific bodily posture or position used in a liturgical or religious ritual context.
-
E.
proceduralPosture
Indicates the current stage or status of a legal case within the judicial or administrative process at the time it is being considered or described.
- 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12885fe04819092cdde142f91e147 |
completed | April 28, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69e6f64a6a70819089d1a6c3a2384861 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:27 p.m.