Triple
T16082006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De la Garza family |
E390131
|
entity |
| Predicate | narrativeStructureLinkedTo |
P86682
|
FINISHED |
| Object | monthly chapters organized by recipes |
—
|
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: monthly chapters organized by recipes | Statement: [De la Garza family, narrativeStructureLinkedTo, monthly chapters organized by recipes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativeStructureLinkedTo Context triple: [De la Garza family, narrativeStructureLinkedTo, monthly chapters organized by recipes]
-
A.
narrativeConnection
Indicates a meaningful relationship between elements within a narrative, such as events, characters, or scenes, that links them in terms of plot, causality, or thematic continuity.
-
B.
narrativeSequence
Indicates that one event or narrative element follows another in a temporal or logical storytelling order.
-
C.
narrativeFrame
Indicates the overarching narrative context or perspective within which events, actions, or relationships are presented or interpreted.
-
D.
narrativeStrategy
Indicates the method or approach used to structure, present, or convey a story or sequence of events.
-
E.
seriesStructure
chosen
Indicates how parts or installments are organized and related within a larger series or sequence.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1827ad7c88190b867da511cbfb7fa |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:57 a.m.