Triple
T5846989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shah Hussain |
E129734
|
entity |
| Predicate | themeInPoetry |
P25955
|
FINISHED |
| Object | love of God |
—
|
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: love of God | Statement: [Shah Hussain, themeInPoetry, love of God]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: themeInPoetry Context triple: [Shah Hussain, themeInPoetry, love of God]
-
A.
poeticStyle
Indicates the stylistic or formal manner in which something is expressed in poetry, such as its structure, tone, and linguistic features.
-
B.
languageOfPoetry
Indicates that a specified language is the language in which a given piece of poetry is written or expressed.
-
C.
themeInspiration
Indicates that one entity serves as the creative source or conceptual basis that inspires or shapes the theme expressed in another entity.
-
D.
poeticStructure
Indicates a relationship where one entity defines, embodies, or specifies the formal poetic organization (such as meter, rhyme scheme, or stanza pattern) used by another entity.
-
E.
themeFor
chosen
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
- 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_69c0084bd31c8190a796bb6284845e83 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c0334412388190bc594794ec5754f9 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:55 p.m.