Triple
T29010554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hasche-Mann |
E736553
|
entity |
| Predicate | typicalInterpretation |
P156529
|
FINISHED |
| Object | depicts a lively game of tag |
—
|
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: depicts a lively game of tag | Statement: [Hasche-Mann, typicalInterpretation, depicts a lively game of tag]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalInterpretation Context triple: [Hasche-Mann, typicalInterpretation, depicts a lively game of tag]
-
A.
intendedInterpretation
Indicates that one entity is meant to be understood or interpreted in a particular way, sense, or meaning relative to another.
-
B.
typicalMeaning
chosen
Indicates that something represents the usual, characteristic, or most common meaning or interpretation associated with something else.
-
C.
primaryInterpretation
Indicates that one interpretation of an entity, expression, or signal is designated as its main or most significant meaning among possible alternatives.
-
D.
interpretedInCase
Indicates that something is understood, analyzed, or given meaning within the context of a particular case or specific situational scenario.
-
E.
interpretiveConsequence
Indicates that one entity is a conclusion, implication, or interpretive outcome that follows from 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_69f077eb81e88190ad9ff62cbb9f555e |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_6a014a0b57dc8190b04ce51156ab95fa |
completed | May 11, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_6a0149afa57c8190a83257085766d916 |
completed | May 11, 2026, 3:14 a.m. |
Created at: April 28, 2026, 9:42 a.m.