Triple
T30898769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thy Word |
E787100
|
entity |
| Predicate | lyricsReference |
P134835
|
FINISHED |
| Object | "Thy word is a lamp unto my feet, and a light unto my path" |
—
|
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: "Thy word is a lamp unto my feet, and a light unto my path" | Statement: [Thy Word, lyricsReference, "Thy word is a lamp unto my feet, and a light unto my path"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lyricsReference Context triple: [Thy Word, lyricsReference, "Thy word is a lamp unto my feet, and a light unto my path"]
-
A.
lyricReference
Indicates that one entity (typically a work or text) contains or makes a reference to the lyrics of another entity.
-
B.
lyricsBy
Indicates that the lyrics of a song or musical work were written or authored by a specified person or entity.
-
C.
lyricText
chosen
Indicates that one entity is the lyrical content or words of a song or musical piece associated with another entity.
-
D.
lyricExpresses
Indicates that the content or emotion of a lyric conveys, communicates, or articulates a particular idea, feeling, or message.
-
E.
notableLyricReference
Indicates that one entity contains a significant or well-known reference to the lyrics of another entity (such as a song or musical work).
- 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_69f224bcbcb48190836df847424e4057 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6923d7438819088dfc308d1e22fd0 |
completed | May 3, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69f68b7ec098819080480998038de940 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:50 p.m.