Triple
T36806040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louka |
E909452
|
entity |
| Predicate | firstAppearanceInAct |
P81018
|
FINISHED |
| Object | Act I |
—
|
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: Act I | Statement: [Louka, firstAppearanceInAct, Act I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAppearanceInAct Context triple: [Louka, firstAppearanceInAct, Act I]
-
A.
firstAppearanceAct
chosen
Indicates the act in which an entity makes its first appearance within a work or performance.
-
B.
firstTheatricalAppearance
Indicates the event or work in which an entity made its debut theatrical appearance.
-
C.
firstAppearanceEpisode
Indicates the specific episode in which an entity (such as a character or item) is shown or mentioned for the first time.
-
D.
firstAppearsAs
Indicates that an entity is introduced or shown in a particular form, role, or identity for the first time in a given context.
-
E.
firstAppearanceEpisodeNumber
Indicates the episode number in which an entity (such as a character or item) first appears.
- 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_69f76e7cbbf48190891227b14d041139 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0e039481908a4a2666f76c5363 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:13 p.m.