Triple
T27051630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheyenne’s Theme |
E684786
|
entity |
| Predicate | hasTypeOfMotif |
P182389
|
FINISHED |
| Object | leitmotif |
—
|
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: leitmotif | Statement: [Cheyenne’s Theme, hasTypeOfMotif, leitmotif]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfMotif Context triple: [Cheyenne’s Theme, hasTypeOfMotif, leitmotif]
-
A.
hasMirrorMotif
Indicates that one entity features a mirror-related motif or pattern in relation to another entity or context.
-
B.
hasCrystalMotif
Indicates that one entity features or incorporates a crystal-themed motif in relation to another entity.
-
C.
hasSignalingMotif
Indicates that one entity contains or exhibits a specific molecular or structural motif involved in signaling processes related to another entity.
-
D.
hasTitleMotif
Indicates that a work’s title prominently features or reflects a recurring motif or central thematic element within the work.
-
E.
hasMorphologicalType
Indicates that an entity possesses or is classified by a particular morphological type or structural form.
- F. None of above. chosen
Provenance (4 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_69ef14829fac8190914bef9ecc3005d7 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f78d7211a48190bfb59c406f0bf12f |
completed | May 3, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
| PDg | Predicate description generation | batch_69f78c6014e08190864785a4fe3e8e73 |
completed | May 3, 2026, 5:56 p.m. |
Created at: April 27, 2026, 8:14 a.m.