Triple
T15025462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geraldine Laybourne |
E378200
|
entity |
| Predicate | genreOfProjects |
P87617
|
FINISHED |
| Object | children's television |
—
|
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: children's television | Statement: [Geraldine Laybourne, genreOfProjects, children's television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfProjects Context triple: [Geraldine Laybourne, genreOfProjects, children's television]
-
A.
typeOfProject
Indicates the specific category or kind of project that an entity is associated with or classified under.
-
B.
genreOfProducedWorks
chosen
Indicates that one entity is the genre category to which the works produced by another entity belong.
-
C.
projectsOn
Indicates that one entity casts, directs, or extends itself onto the surface, area, or domain of another entity.
-
D.
subjectOfProject
Indicates that an entity serves as the main focus, topic, or target of a particular project.
-
E.
genreOfWorkContributedTo
Indicates that an entity contributed to a work belonging to a specified genre.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7dfcb508190aec8cd667e27a8ea |
completed | April 15, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69de9a67cbc481909c19c2de57de4eb7 |
completed | April 14, 2026, 7:50 p.m. |
Created at: April 10, 2026, 2:57 a.m.