Triple
T27041163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Migrations |
E684490
|
entity |
| Predicate | artistRoleOfCristinaPato |
P162838
|
FINISHED |
| Object | bagpiper |
—
|
LITERAL 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: bagpiper | Statement: [Migrations, artistRoleOfCristinaPato, bagpiper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artistRoleOfCristinaPato Context triple: [Migrations, artistRoleOfCristinaPato, bagpiper]
-
A.
roleOfCarmen Pavlovic
Indicates that the specified role or position is held or performed by Carmen Pavlovic.
-
B.
portrayerKnownFor
Indicates that a person is especially recognized or famous for portraying a particular role, character, or work.
-
C.
portrayedByAlsoPlays
Indicates that the actor who portrays a given character also plays another specified role or character.
-
D.
partnerPortrayedBy
Indicates that one entity is the actor or performer who portrays the partner or counterpart of another entity in a work.
-
E.
politicalActor
Indicates that an entity participates in political activities or holds a role within a political system or process.
- 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_69ef148193c48190bb1a0cfae6a407c4 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f62e4168a48190b45268f922780da6 |
completed | May 2, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69f62c15952881908a5ea0c25904afec |
completed | May 2, 2026, 4:53 p.m. |
| PDg | Predicate description generation | batch_69f62d5268ac8190835dc7119353b840 |
completed | May 2, 2026, 4:58 p.m. |
Created at: April 27, 2026, 8:05 a.m.