Triple
T22508716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lavan (Sikh marriage hymns) |
E556458
|
entity |
| Predicate | firstVerseFocus |
P36750
|
FINISHED |
| Object | righteous duty and commitment to marriage |
—
|
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: righteous duty and commitment to marriage | Statement: [Lavan (Sikh marriage hymns), firstVerseFocus, righteous duty and commitment to marriage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstVerseFocus Context triple: [Lavan (Sikh marriage hymns), firstVerseFocus, righteous duty and commitment to marriage]
-
A.
firstVerseText
chosen
Indicates the textual content that appears in the first verse of something, such as a song, poem, or hymn.
-
B.
firstQuatrainFocus
Indicates that the primary thematic or descriptive emphasis of the first quatrain in a poem is on the specified entity or concept.
-
C.
firstSong
Indicates that one song is the earliest or initial song in a specified sequence, collection, or context.
-
D.
firstSpeechFocus
Indicates that the referenced entity is the primary or initial focus or topic of attention in a given speech or utterance.
-
E.
firstSeriesFocusesOn
Indicates that the initial installment or season in a series primarily centers on or is devoted to a particular subject, character, or theme.
- 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d5ebe5881908a22d519128415f2 |
completed | April 29, 2026, 1:22 a.m. |
| PD | Predicate disambiguation | batch_69e898be31448190be5ae7f5656f0497 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:50 p.m.