Triple
T37573057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan for All, All for Juan |
E934739
|
entity |
| Predicate | notableSegmentOf |
P5600
|
FINISHED |
| Object | Eat Bulaga! |
E274632
|
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: Eat Bulaga! | Statement: [Juan for All, All for Juan, notableSegmentOf, Eat Bulaga!]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableSegmentOf Context triple: [Juan for All, All for Juan, notableSegmentOf, Eat Bulaga!]
-
A.
notableSegmentType
Indicates that a particular segment or portion of something is classified as being of notable or special significance by its type.
-
B.
notableSect
Indicates that an entity is a significant or prominent sect, denomination, or subgroup within a broader religious, ideological, or organizational context.
-
C.
notableTrack
Indicates that a particular track (such as a song or recording) is especially significant, well-known, or prominent in relation to the subject.
-
D.
notableSection
chosen
Indicates that a particular part or segment of something is especially important, prominent, or worthy of attention within the whole.
-
E.
notableSingle
Indicates that the subject is particularly recognized or distinguished for one specific, individual instance (such as a single work, event, or achievement).
- F. None of above.
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_69f76ecd99148190be327e391a70f5b6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a410ca9d5a08190bfdbf4b0840ad2a0 |
completed | June 28, 2026, 11:59 a.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:17 p.m.