Triple
T32687119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mowgli's Song |
E835754
|
entity |
| Predicate | literaryCharacterFeatured |
P179045
|
FINISHED |
| Object | Mowgli |
—
|
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: Mowgli | Statement: [Mowgli's Song, literaryCharacterFeatured, Mowgli]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: literaryCharacterFeatured Context triple: [Mowgli's Song, literaryCharacterFeatured, Mowgli]
-
A.
literaryCharacterDepicted
chosen
Indicates that a literary character is visually or textually represented in a work such as an image, illustration, or other medium.
-
B.
majorFigureInLiterature
Indicates that a person is widely recognized as a significant and influential figure within the field of literature.
-
C.
literaryCharacterModeledAs
Indicates that one literary character is created or portrayed based on the traits, life, or persona of another real or fictional individual.
-
D.
literarySeriesCharacter
Indicates that a character appears in, is part of, or is associated with a particular literary series.
-
E.
characterInFocus
Indicates that a particular character is the primary subject or focal point within a given context, scene, or narrative segment.
- 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_69f3493211388190993801216afbc2a7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7817daf00819098936402e75ab0a6 |
completed | May 3, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 1, 2026, 1:09 a.m.