Triple
T11897864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bookends |
E283079
|
entity |
| Predicate | sideOneConcept |
P531
|
FINISHED |
| Object | life cycle from youth to old age |
—
|
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: life cycle from youth to old age | Statement: [Bookends, sideOneConcept, life cycle from youth to old age]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sideOneConcept Context triple: [Bookends, sideOneConcept, life cycle from youth to old age]
-
A.
sideOneStructure
Indicates that the specified structure is located on or associated with the first (designated "one") side of a bilateral or two-sided entity or relationship.
-
B.
introducedConcept
Indicates that one entity is responsible for presenting, defining, or bringing a new concept into use or awareness for another entity or context.
-
C.
side2
Indicates that an entity is positioned on, associated with, or corresponds to the second side of another entity or structure.
-
D.
partOfConcept
Indicates that one concept is a constituent or component of a larger, more encompassing concept.
-
E.
hasConcept
chosen
Indicates that an entity includes, embodies, or is associated with a particular concept.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd13cc10819089d8d5103e562924 |
completed | April 10, 2026, 11:20 a.m. |
| PD | Predicate disambiguation | batch_69d8bb2fca4481909893f3428b0871ac |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.