Triple
T36539069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pity the Child |
E900666
|
entity |
| Predicate | countryOfOriginOfMusical |
P204022
|
FINISHED |
| Object | United Kingdom |
E732
|
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: United Kingdom | Statement: [Pity the Child, countryOfOriginOfMusical, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfOriginOfMusical Context triple: [Pity the Child, countryOfOriginOfMusical, United Kingdom]
-
A.
originCountryOfSong
Indicates the country from which a song originally comes or was first created or released.
-
B.
countryOfOriginForMusicCareer
Indicates the country where an artist’s professional music career was primarily started or established.
-
C.
countryOfOriginOfComposer
Indicates the country from which a composer originates or is associated as their place of origin.
-
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.
originCountryStyle
Indicates that something is characterized by or created in the style or manner typical of a particular country of origin.
- 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_69f76e5fbb388190b70c4c15573c8143 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a030d3db2748190b32fcf7b21bd0d0a |
completed | May 12, 2026, 11:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39e6c690008190972104e81a27abbb |
completed | June 23, 2026, 1:52 a.m. |
| PD | Predicate disambiguation | batch_6a030ca6bf388190b2f6931376323da3 |
completed | May 12, 2026, 11:19 a.m. |
| PDg | Predicate description generation | batch_6a030d3d14b48190a1858d37988e7fd6 |
completed | May 12, 2026, 11:21 a.m. |
Created at: May 3, 2026, 4:11 p.m.