Triple
T16387434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marni Hodgkin |
E397958
|
entity |
| Predicate | curatedSeriesGenre |
P123208
|
FINISHED |
| Object | children's short story anthologies |
—
|
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 short story anthologies | Statement: [Marni Hodgkin, curatedSeriesGenre, children's short story anthologies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: curatedSeriesGenre Context triple: [Marni Hodgkin, curatedSeriesGenre, children's short story anthologies]
-
A.
homeSeriesGenre
Indicates that a home media series (such as a TV or video series) belongs to or is categorized under a particular genre.
-
B.
tvGenre
Indicates the genre or category to which a television show or program belongs.
-
C.
recommendationSeries
Indicates that one entity is recommended as a series (e.g., a sequence of related items or installments) in relation to another entity.
-
D.
targetGenre
Indicates the genre that something is specifically aimed at, categorized under, or intended to belong to.
-
E.
coveredInGenre
Indicates that a work or item is associated with, categorized under, or treated within a particular genre.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3263e1534819081a6bf5006c611c5 |
completed | April 18, 2026, 6:35 a.m. |
| PD | Predicate disambiguation | batch_69e226f94dd48190b7b8e0e983738a67 |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24555bb6c8190977cf5c5f9149056 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:08 a.m.