Triple
T4205588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Long Fatal Love Chase |
E86174
|
entity |
| Predicate | intendedAsSerial |
P40774
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [A Long Fatal Love Chase, intendedAsSerial, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedAsSerial Context triple: [A Long Fatal Love Chase, intendedAsSerial, true]
-
A.
intendedForSeries
chosen
Indicates that something is designed, created, or designated to be used within or as part of a particular series.
-
B.
isSeriesOf
Indicates that one entity is a sequence or set of related items that collectively form a series associated with another entity.
-
C.
usedInSeries
Indicates that something (such as an element, component, or concept) is employed or appears within a particular series.
-
D.
serialNumber
Indicates a unique identifying code assigned to an individual item or instance within a series or batch.
-
E.
designationSeries
Indicates that one designation belongs to or is part of a broader series of related designations.
- 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03844314819092639ed7d6ef2c6e |
completed | March 9, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69af0196716c81908b99193690630a29 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:49 p.m.