Triple
T16667470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Discourse on Woman |
E405017
|
entity |
| Predicate | timePeriodOfSpeech |
P302
|
FINISHED |
| Object | mid-19th century United States |
—
|
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: mid-19th century United States | Statement: [Discourse on Woman, timePeriodOfSpeech, mid-19th century United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodOfSpeech Context triple: [Discourse on Woman, timePeriodOfSpeech, mid-19th century United States]
-
A.
timePeriod
chosen
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
B.
timePeriodOfMusic
Indicates the historical or stylistic time period during which a piece of music was created, popular, or characteristic.
-
C.
timePeriodRecognized
Indicates that a specific span of time has been formally identified or acknowledged as significant or valid within a given context.
-
D.
timeIntervalLength
Indicates the duration or length of a specified time interval.
-
E.
timePeriodFormulated
Indicates the time period during which something (such as a concept, theory, or plan) was formulated or developed.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37c9d9fc48190a8156c029668b544 |
completed | April 18, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69e319b1d7f08190b5ecb4a68c636c15 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:18 a.m.