Triple
T16013867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riccardo Zacconi |
E388410
|
entity |
| Predicate | workedAt |
P7
|
FINISHED |
| Object |
uDate
uDate was an early online dating platform co-founded by entrepreneur Riccardo Zacconi before he went on to create King, the company behind Candy Crush Saga.
|
E1189517
|
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: uDate | Statement: [Riccardo Zacconi, workedAt, uDate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: uDate Context triple: [Riccardo Zacconi, workedAt, uDate]
-
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.
datetime
datetime is a Python standard library module that supplies classes for manipulating dates, times, and time intervals.
-
C.
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.
-
D.
Date
Date is a Japanese samurai clan name most famously associated with the powerful Sengoku-period warlord Date Masamune.
-
E.
Date
Date is a city in Japan’s Iburi Subprefecture on the island of Hokkaido, known for its natural scenery and hot springs.
- 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: uDate Triple: [Riccardo Zacconi, workedAt, uDate]
Generated description
uDate was an early online dating platform co-founded by entrepreneur Riccardo Zacconi before he went on to create King, the company behind Candy Crush Saga.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: uDate Target entity description: uDate was an early online dating platform co-founded by entrepreneur Riccardo Zacconi before he went on to create King, the company behind Candy Crush Saga.
-
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.
datetime
datetime is a Python standard library module that supplies classes for manipulating dates, times, and time intervals.
-
C.
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.
-
D.
Date
Date is a Japanese samurai clan name most famously associated with the powerful Sengoku-period warlord Date Masamune.
-
E.
Date
Date is a city in Japan’s Iburi Subprefecture on the island of Hokkaido, known for its natural scenery and hot springs.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18292b79881908efac869603c4029 |
completed | April 17, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf267a9c81908f1fa1ad117c5e2c |
completed | May 10, 2026, 12:19 a.m. |
| NEDg | Description generation | batch_69ffd0bfc05881908d7223c52050ea14 |
completed | May 10, 2026, 12:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd159dbcc81908ac586a6b8de57cf |
completed | May 10, 2026, 12:29 a.m. |
Created at: April 10, 2026, 4:55 a.m.