Triple
T31995393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swan Queen |
E816979
|
entity |
| Predicate | actAppearsIn |
P172090
|
FINISHED |
| Object | Act II of Swan Lake |
—
|
NE NERFINISHED |
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: Act II of Swan Lake | Statement: [Swan Queen, actAppearsIn, Act II of Swan Lake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: actAppearsIn Context triple: [Swan Queen, actAppearsIn, Act II of Swan Lake]
-
A.
actsIn
Indicates that an entity performs or appears in a creative work, such as a film, play, or show.
-
B.
actúaEn
Indicates that an actor or performer takes part in or appears in a specific production, such as a film, play, or television show.
-
C.
characterAppearsIn
chosen
Indicates that a specific character is present or featured within a particular work, such as a book, movie, or episode.
-
D.
alsoAppearsAs
Indicates that an entity is known or presented under an alternative name, form, or representation.
-
E.
appearsWithActor
Indicates that one entity appears together on screen or in a scene with a specified actor.
- F. None of above.
Provenance (3 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_69f348f8002081909a3588758ba94afb |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b3f782788190aa4b2dfa9e6eab19 |
completed | May 3, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f6b151ad008190836c1bcdec503ce2 |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:13 a.m.