Triple
T11020174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Woman in Black |
E260466
|
entity |
| Predicate | hasChildAudienceSuitability |
P18991
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [The Woman in Black, hasChildAudienceSuitability, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChildAudienceSuitability Context triple: [The Woman in Black, hasChildAudienceSuitability, no]
-
A.
hasAgeGuidelines
Indicates that there are specified age-related rules or recommendations governing how something should be accessed, used, or engaged with.
-
B.
hasAudience
Indicates that an entity is intended to be received, viewed, or engaged with by a particular group of people.
-
C.
isSuitableFor
chosen
Indicates that one entity is appropriate, fitting, or well-matched for use, application, or association with another entity.
-
D.
hasEducationalAudience
Indicates that something is intended for or directed toward a specific educational audience or learner group.
-
E.
relatesToAudience
Indicates a general relationship or relevance between something and a particular audience or group of recipients.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797baad408190a53fd6941a750f68 |
completed | April 9, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69d72e995e008190bbffb314129ed0cd |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:25 p.m.