Triple
T38610499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ezra Mannon – Agamemnon archetype |
E934463
|
entity |
| Predicate | mirrorsTheme |
P187690
|
FINISHED |
| Object | fatal consequences of marital infidelity |
—
|
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: fatal consequences of marital infidelity | Statement: [Ezra Mannon – Agamemnon archetype, mirrorsTheme, fatal consequences of marital infidelity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mirrorsTheme Context triple: [Ezra Mannon – Agamemnon archetype, mirrorsTheme, fatal consequences of marital infidelity]
-
A.
reflectsOnTheme
Indicates that one entity critically considers, analyzes, or comments on the theme expressed or embodied by another entity.
-
B.
mosaicTheme
Indicates that one entity has a thematic subject or motif that is depicted or expressed in a mosaic associated with it.
-
C.
trialMirrors
Indicates that one trial serves as a mirror or counterpart to another trial, reflecting its conditions, structure, or outcomes for comparison or replication purposes.
-
D.
magnetTheme
chosen
Indicates a thematic relationship in which one element strongly attracts, organizes, or draws attention to related elements like a magnet.
-
E.
impliesTheme
Indicates that one entity conceptually suggests, hints at, or leads to the thematic presence of 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_69f76eccd6d081909ccce171011739a1 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fce545fec881909247a3af821d21ae |
completed | May 7, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69fce12eaeec81908cf81346b2cef6e0 |
completed | May 7, 2026, 6:59 p.m. |
Created at: May 3, 2026, 4:32 p.m.