Triple
T37573838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boy Pick-Up |
E934761
|
entity |
| Predicate | originalShowCountryOfOrigin |
P52827
|
FINISHED |
| Object | Philippines |
E2051
|
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: Philippines | Statement: [Boy Pick-Up, originalShowCountryOfOrigin, Philippines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalShowCountryOfOrigin Context triple: [Boy Pick-Up, originalShowCountryOfOrigin, Philippines]
-
A.
originallyProducedIn
Indicates that something was first created, manufactured, or brought into existence in a particular place or location.
-
B.
originatedInShow
Indicates that something (such as a character, concept, or element) first appeared or was introduced in a particular show.
-
C.
televisionSeriesCountryOfOrigin
chosen
Indicates the country where a television series was originally produced or first created.
-
D.
laterCountryOfOrigin
Indicates that an entity’s country of origin changed, and this predicate specifies the country that became its origin at a later time than a previously associated country.
-
E.
countryOfShow
Indicates that a show is associated with, produced in, or originates from a particular country.
- 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_6a40cda759ec819098200c989248476d |
completed | June 28, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:17 p.m.