Triple
T22439398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Act I (Our American Cousin) |
E554714
|
entity |
| Predicate | hasActNumber |
P142399
|
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: [Act I (Our American Cousin), hasActNumber, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasActNumber Context triple: [Act I (Our American Cousin), hasActNumber, 1]
-
A.
hasNumberInActa
Indicates that an entity is associated with a specific identifying number recorded in an official acta (formal record or document).
-
B.
hasAct
Indicates that an entity performs, participates in, or is associated with a specific act or action.
-
C.
hasActs
Indicates that an entity is associated with one or more actions, performances, or deeds it carries out or is responsible for.
-
D.
isNumberInAct
chosen
Indicates that a specific number appears within, or is associated with, a particular act (such as a legal act, play act, or similar structured unit).
-
E.
hasActPosition
Indicates that an entity holds or occupies a specific acting role or position within an organization or context.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ae0edcc8190919b198035de0df2 |
completed | April 29, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69e898a327948190beee5e168006a0a7 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:47 p.m.