Triple
T9007826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Date Masamune |
E215389
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Date
Date is a Japanese samurai clan name most famously associated with the powerful Sengoku-period warlord Date Masamune.
|
E770817
|
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: Date | Statement: [Date Masamune, familyName, Date]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Date Context triple: [Date Masamune, familyName, Date]
-
A.
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.
-
B.
Due Date
"Due Date" is a 2010 American road-trip comedy film directed by Todd Phillips and starring Robert Downey Jr. and Zach Galifianakis.
-
C.
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.
-
D.
datetime
datetime is a Python standard library module that supplies classes for manipulating dates, times, and time intervals.
-
E.
Hot Date
Hot Date is a popular dating-themed expansion pack for the life simulation game The Sims, introducing romantic interactions and downtown social venues.
- 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: Date Triple: [Date Masamune, familyName, Date]
Generated description
Date is a Japanese samurai clan name most famously associated with the powerful Sengoku-period warlord Date Masamune.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Date Target entity description: Date is a Japanese samurai clan name most famously associated with the powerful Sengoku-period warlord Date Masamune.
-
A.
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.
-
B.
Due Date
"Due Date" is a 2010 American road-trip comedy film directed by Todd Phillips and starring Robert Downey Jr. and Zach Galifianakis.
-
C.
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.
-
D.
datetime
datetime is a Python standard library module that supplies classes for manipulating dates, times, and time intervals.
-
E.
Hot Date
Hot Date is a popular dating-themed expansion pack for the life simulation game The Sims, introducing romantic interactions and downtown social venues.
- 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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69bdc5fc819081015f4adacf9fd4 |
completed | April 1, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0e7f090819093c7af51c3979978 |
completed | April 3, 2026, 2:38 p.m. |
| NEDg | Description generation | batch_69cfd17e5850819087fbb60fdc612fd9 |
completed | April 3, 2026, 2:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfd215204c8190886cc071f100aab6 |
completed | April 3, 2026, 2:43 p.m. |
Created at: March 30, 2026, 7:05 p.m.