Triple
T20954981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In the House of the Interpreter |
E516074
|
entity |
| Predicate | timeInAuthorLife |
P44714
|
FINISHED |
| Object | adolescence |
—
|
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: adolescence | Statement: [In the House of the Interpreter, timeInAuthorLife, adolescence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeInAuthorLife Context triple: [In the House of the Interpreter, timeInAuthorLife, adolescence]
-
A.
authorLifespanContext
chosen
Indicates the temporal or historical context of an author’s life span in relation to other events, periods, or entities.
-
B.
creatorLifespan
Indicates the time period between the birth and death of the creator associated with an entity.
-
C.
timeInArtistCareer
Indicates the point or period within an artist’s professional career at which a given event, work, or activity occurs.
-
D.
activeYearsInLiterature
Indicates the span of years during which an entity was actively producing or contributing to literary works.
-
E.
timeInPlatoLife
Indicates a temporal relation specifying when in Plato’s life (e.g., period, phase, or age) a given event, state, or relationship occurs.
- 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_69e0b4fcd678819087a304291f14330a |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fae2299c8190afa1b9ec5bd9df32 |
completed | April 21, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c9b1bae48190a845165fed1b005e |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 1:28 p.m.