Triple
T9056255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We Are Climbing Jacob’s Ladder |
E217004
|
entity |
| Predicate | hasLyricalMotif |
P4921
|
FINISHED |
| Object | climbing a ladder toward 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: climbing a ladder toward God | Statement: [We Are Climbing Jacob’s Ladder, hasLyricalMotif, climbing a ladder toward God]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLyricalMotif Context triple: [We Are Climbing Jacob’s Ladder, hasLyricalMotif, climbing a ladder toward God]
-
A.
hasLyricalTheme
chosen
Indicates that one entity (typically a creative work) features or is characterized by a particular lyrical subject, topic, or theme.
-
B.
hasLyricalForm
Indicates that one entity (typically a musical or poetic work) possesses or is characterized by a particular lyrical structure or form.
-
C.
hasLyricalStyle
Indicates that one entity possesses or is characterized by a particular lyrical style in relation to another entity or context.
-
D.
hasLyricalVariant
Indicates that one item has an alternative version that differs in its lyrics while remaining related to the original.
-
E.
hasLyricalRegister
Indicates that something (such as a text, utterance, or expression) is associated with a particular lyrical or stylistic register in language.
- 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_69ca83d4425481909a319dab847724ec |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7a75d8e881909414d745ec054182 |
completed | April 1, 2026, 1:52 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee6d83c819095d8ed0779aa8511 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:10 p.m.