Triple
T29800062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucia di Lammermoor |
E756666
|
entity |
| Predicate | thirdActCount |
P12050
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Lucia di Lammermoor, thirdActCount, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdActCount Context triple: [Lucia di Lammermoor, thirdActCount, 1]
-
A.
thirdActFunction
Indicates the narrative role or purpose that an element (such as a character, event, or device) serves specifically within the third act of a story or dramatic structure.
-
B.
numberOfActs
chosen
Indicates the total count of discrete acts or actions associated with a given entity or event.
-
C.
movementNumber3Title
Indicates the specific title assigned to the third movement within a larger multi-movement work.
-
D.
thirdEpisode
Indicates that one entity is the third episode in sequence within a series or season relative to another entity.
-
E.
thirdElement
Indicates that one entity is the third element in an ordered sequence or tuple associated with another entity.
- 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_69f22454583081908927516cb9938d1d |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
Created at: April 29, 2026, 5:17 p.m.