Triple
T33985803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chloe in the Afternoon |
E871405
|
entity |
| Predicate | hasMoralTaleNumber |
P25499
|
FINISHED |
| Object | VI |
—
|
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: VI | Statement: [Chloe in the Afternoon, hasMoralTaleNumber, VI]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMoralTaleNumber Context triple: [Chloe in the Afternoon, hasMoralTaleNumber, VI]
-
A.
hasMoralMessage
Indicates that something conveys or embodies a lesson, value, or guidance about what is right or wrong behavior.
-
B.
talesCount
chosen
Indicates the number of tales associated with or attributed to a given entity.
-
C.
hasStandaloneTales
Indicates that an entity includes or is associated with independent, self-contained stories that can be understood without relying on a larger narrative.
-
D.
hasNotableFable
Indicates that an entity is associated with a well-known or significant fable, either as its subject, source, or key element.
-
E.
hasMoralCode
Indicates that an entity adheres to or is guided by a set of moral principles or ethical rules.
- 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_69f3499e964c8190b674b03f6f791b4b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fea2d0a4d08190aa06aeb902a02d5a |
completed | May 9, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69fea24698348190b9b992a8e7cdbcd0 |
completed | May 9, 2026, 2:56 a.m. |
Created at: May 1, 2026, 1:50 a.m.