Triple
T34938351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sacks |
E1007642
|
entity |
| Predicate | includedInAuthorCareerPhase |
P6708
|
FINISHED |
| Object | Carver’s mature period |
—
|
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: Carver’s mature period | Statement: [Sacks, includedInAuthorCareerPhase, Carver’s mature period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includedInAuthorCareerPhase Context triple: [Sacks, includedInAuthorCareerPhase, Carver’s mature period]
-
A.
hasCareerStage
Indicates the specific phase or stage of a person's or entity's professional or occupational progression.
-
B.
isStageInCareerOf
chosen
Indicates that one entity represents a particular phase or stage within the professional career of another entity.
-
C.
appliesDuringCareerPhase
Indicates that something is relevant or in effect only during a specified phase of an entity’s career.
-
D.
authorMaturityPhase
Indicates the developmental stage or phase of maturity an author is in with respect to their work or career.
-
E.
chronologicallyPrecedesCareerPhase
Indicates that one career phase occurs earlier in time than another career phase.
- 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_69f76dc513fc819084a1ff52abbfa5bc |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4 p.m.