Triple
T38679111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aldolpho |
E943838
|
entity |
| Predicate | performsNumberIn |
P142479
|
FINISHED |
| Object | The Drowsy Chaperone |
—
|
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: The Drowsy Chaperone | Statement: [Aldolpho, performsNumberIn, The Drowsy Chaperone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performsNumberIn Context triple: [Aldolpho, performsNumberIn, The Drowsy Chaperone]
-
A.
performsNumber
Indicates that an entity carries out or executes a specific numbered item, such as a task, role, or performance identified by that number.
-
B.
performsInNumber
chosen
Indicates that an entity takes part as a performer in a specific musical, theatrical, or similar numbered production or piece.
-
C.
performedInNumber
Indicates that an action or event was carried out a specified number of times.
-
D.
containsNumber
Indicates that one entity includes or has at least one numeric value or digit within it.
-
E.
performsAs
Indicates that one entity takes on, enacts, or fulfills the role, function, or character of 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_69f76eec28708190b9c82a505fc278e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ff7bc112088190851501fb2a16103d |
completed | May 9, 2026, 6:24 p.m. |
| PD | Predicate disambiguation | batch_69ff7b45507c81909753866ad733601a |
completed | May 9, 2026, 6:21 p.m. |
Created at: May 3, 2026, 4:33 p.m.