Triple
T37959713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imagine You and Me |
E946971
|
entity |
| Predicate | hasLoveTeam |
P200877
|
FINISHED |
| Object | AlDub |
—
|
NE NERFINISHED |
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: AlDub | Statement: [Imagine You and Me, hasLoveTeam, AlDub]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLoveTeam Context triple: [Imagine You and Me, hasLoveTeam, AlDub]
-
A.
hasTeamFor
Indicates that an entity possesses, is associated with, or is responsible for a specific team designated for a particular purpose or context.
-
B.
hasParaTeam
Indicates that an entity has an associated Paralympic or para-sports team.
-
C.
hasHeroTeam
Indicates a relationship where an entity is associated with or supported by a specific team of heroes.
-
D.
hasMenTeam
Indicates that an entity possesses, is associated with, or fields a men’s team.
-
E.
hasCountryTeamIn
Indicates that a country has a corresponding team participating in or associated with a particular context, such as an event, league, or organization.
- F. None of above. chosen
Provenance (4 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_69f76ef7062c819091bfacb7e83aa1e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ffb5c373948190a6606e8caa87a384 |
completed | May 9, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69ffb261da788190b41399df8ed895e8 |
completed | May 9, 2026, 10:17 p.m. |
| PDg | Predicate description generation | batch_69ffb5c2cef0819087a92a1a5ab694a8 |
completed | May 9, 2026, 10:31 p.m. |
Created at: May 3, 2026, 4:20 p.m.