Triple
T20925777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of the Rising Sun |
E515338
|
entity |
| Predicate | hasCommonEarlierNarratorGender |
P141709
|
FINISHED |
| Object | female |
—
|
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: female | Statement: [House of the Rising Sun, hasCommonEarlierNarratorGender, female]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommonEarlierNarratorGender Context triple: [House of the Rising Sun, hasCommonEarlierNarratorGender, female]
-
A.
hasGenderHistory
Indicates that an entity has undergone or experienced a change or transition in gender over time.
-
B.
hasCoNarrator
Indicates that two or more entities share the role of narrating the same work, event, or story together.
-
C.
hasAuthorGender
Indicates that an entity (such as a work or publication) is associated with an author of a specified gender.
-
D.
hasAdultNarratorVersionOfCharacter
Indicates that one character represents the adult narrator version of another character.
-
E.
narratorType
Indicates the narrative perspective or role from which a story or account is being told.
- 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f65200b08190ac208204a20f5a6a |
completed | April 21, 2026, 4 a.m. |
| PD | Predicate disambiguation | batch_69e5c9af1fe08190953366a466950140 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53d22d08190bc17ed4bed53804a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:49 p.m.