Triple
T21067938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | And to Think That I Saw It on Mulberry Street |
E519024
|
entity |
| Predicate | hasTimePeriodOfStory |
P11197
|
FINISHED |
| Object | contemporary to its publication era |
—
|
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: contemporary to its publication era | Statement: [And to Think That I Saw It on Mulberry Street, hasTimePeriodOfStory, contemporary to its publication era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTimePeriodOfStory Context triple: [And to Think That I Saw It on Mulberry Street, hasTimePeriodOfStory, contemporary to its publication era]
-
A.
timeOfNarrative
chosen
Indicates the specific time or period during which the events of a narrative are set or unfold.
-
B.
narrativeTimeSpanHours
Indicates the duration of a narrative or story event measured in hours.
-
C.
timePeriodOfPrimaryStories
Indicates the time period during which the primary stories or main narrative events of something (e.g., a work or series) take place.
-
D.
storyTime
Indicates that one entity is narrating or sharing a story with another entity, typically in a designated or scheduled period for storytelling.
-
E.
yearsActiveInStory
Indicates the span of years during which the entity is active or participates within the context of the story.
- 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feb5772481909e32af3b3a69df76 |
completed | April 21, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf9d71881908cd85dfc37db93ca |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:45 p.m.