Triple
T27618908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary, Did You Know? |
E700515
|
entity |
| Predicate | subjectOfLyrics |
P36336
|
FINISHED |
| Object | Jesus |
—
|
NE NERFINISHED |
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: Jesus | Statement: [Mary, Did You Know?, subjectOfLyrics, Jesus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectOfLyrics Context triple: [Mary, Did You Know?, subjectOfLyrics, Jesus]
-
A.
lyricKeyword
Indicates that a lyric is associated with, or can be characterized by, a particular keyword or key phrase.
-
B.
singsAbout
Indicates that one entity performs a song whose subject or theme is another entity.
-
C.
featuresIntrospectiveLyrics
Indicates that the subject contains lyrics characterized by self-reflection, inner thought, or personal emotional examination.
-
D.
songAbout
chosen
Indicates that one entity (typically a song) has content, lyrics, or themes that are focused on, describe, or are dedicated to another entity.
-
E.
lyricFocus
Indicates that the primary emphasis or subject of the lyrics is centered on a particular entity 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_69ef6a4f1d9c8190b0705acda054368d |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 27, 2026, 2:13 p.m.