Triple
T14030748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bull-leaping fresco |
E337578
|
entity |
| Predicate | influencesUnderstandingOf |
P22974
|
FINISHED |
| Object | Minoan social life |
—
|
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: Minoan social life | Statement: [Bull-leaping fresco, influencesUnderstandingOf, Minoan social life]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencesUnderstandingOf Context triple: [Bull-leaping fresco, influencesUnderstandingOf, Minoan social life]
-
A.
influencesFocus
Indicates that one entity affects or shapes the attention, concentration, or focal priorities of another entity.
-
B.
influencedPerceptionOf
chosen
Indicates that one entity has affected, shaped, or altered how another entity is perceived or understood.
-
C.
influencesPractice
Indicates that one entity affects, shapes, or alters the way another entity carries out its activities, methods, or customary behavior.
-
D.
influencedDiscussionOf
Indicates that one entity had an effect on the way another entity was discussed, framed, or debated.
-
E.
exploresInfluence
Indicates that one entity investigates, examines, or analyzes the impact or effect that another entity has.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fa9f8248190930954d609dee5f1 |
completed | April 14, 2026, 12:14 p.m. |
| PD | Predicate disambiguation | batch_69de05ab36b48190920efb1869bdb1fe |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:20 p.m.