Triple
T37573245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalyeserye |
E934743
|
entity |
| Predicate | featuresLoveTeam |
P205989
|
FINISHED |
| Object | AlDub |
E934744
|
NE 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: AlDub | Statement: [Kalyeserye, featuresLoveTeam, AlDub]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresLoveTeam Context triple: [Kalyeserye, featuresLoveTeam, AlDub]
-
A.
featuredTeam
Indicates that a particular team is highlighted or given special prominence in a given context or presentation.
-
B.
featuresTeamUp
Indicates that two or more entities collaborate or join forces to act together as a team.
-
C.
featuresTeams
Indicates that something prominently presents or includes specific teams as a central element or focus.
-
D.
featuresTeamLevel
Indicates that a feature is available or applicable at the team (rather than individual or organization) level.
-
E.
favoriteTeam
Indicates that one entity is the sports team preferred above all others by another entity.
- 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_69f76ecd99148190be327e391a70f5b6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a409f2093608190ab6a6e4ffdcdb9f9 |
completed | June 28, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:17 p.m.