Triple

T4325175
Position Surface form Disambiguated ID Type / Status
Subject Python standard library E96619 entity
Predicate includesModule P49317 FINISHED
Object datetime
datetime is a Python standard library module that supplies classes for manipulating dates, times, and time intervals.
 E431917 NE FINISHED

How this triple was built (4 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: datetime | Statement: [Python standard library, includesModule, datetime]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: datetime
Context triple: [Python standard library, includesModule, datetime]
  • A. NSDate
    NSDate is an Objective-C class in Apple’s Foundation framework that represents a specific point in time for use in macOS and iOS applications.
  • B. Time
    Time is a major American news magazine known for its influential coverage of current events, politics, and culture.
  • C. Time
    Time is a personified embodiment of time itself, portrayed as an eccentric, clockwork-like being in the fantasy film "Alice Through the Looking Glass."
  • D. Time
    Time is a 1995 song by the American rock band Screaming Trees, featured on their album "Dust."
  • E. Date
    Date is an HTTP header field that indicates the date and time at which the message was originated, formatted according to internet date/time standards.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: datetime
Triple: [Python standard library, includesModule, datetime]
Generated description
datetime is a Python standard library module that supplies classes for manipulating dates, times, and time intervals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: datetime
Target entity description: datetime is a Python standard library module that supplies classes for manipulating dates, times, and time intervals.
  • A. NSDate
    NSDate is an Objective-C class in Apple’s Foundation framework that represents a specific point in time for use in macOS and iOS applications.
  • B. Time
    Time is a major American news magazine known for its influential coverage of current events, politics, and culture.
  • C. Time
    Time is a personified embodiment of time itself, portrayed as an eccentric, clockwork-like being in the fantasy film "Alice Through the Looking Glass."
  • D. Time
    Time is a 1995 song by the American rock band Screaming Trees, featured on their album "Dust."
  • E. Date
    Date is an HTTP header field that indicates the date and time at which the message was originated, formatted according to internet date/time standards.
  • F. None of above. chosen

Provenance (5 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_69b34542fd908190b11b08faad8decfd completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3563eab24819088add9180af2ce3c completed March 13, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5d094f5fc819083eddc234f46f6a1 completed March 14, 2026, 9:18 p.m.
NEDg Description generation batch_69b5d10a20248190b3214509cb637ff4 completed March 14, 2026, 9:20 p.m.
NED2 Entity disambiguation (via description) batch_69b5d4f08ac4819097e71276be11403d completed March 14, 2026, 9:36 p.m.
Created at: March 12, 2026, 11:13 p.m.