Triple
T38599371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Women Are Like That |
E934166
|
entity |
| Predicate | referredWorkRelatedWork |
P142855
|
FINISHED |
| Object | The Marriage of Figaro |
—
|
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 Marriage of Figaro | Statement: [Women Are Like That, referredWorkRelatedWork, The Marriage of Figaro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referredWorkRelatedWork Context triple: [Women Are Like That, referredWorkRelatedWork, The Marriage of Figaro]
-
A.
workRelatedTo
Indicates a relationship where one entity’s work, tasks, or professional activities are connected, associated, or relevant to those of another entity.
-
B.
relatedWorkForm
chosen
Indicates a relationship in which one work is connected to another through a different form or version (e.g., adaptation, translation, or other format variation).
-
C.
associatedWork
Indicates that there exists a related or connected work (such as a publication, creative piece, or project) that is meaningfully linked to the subject.
-
D.
relatedWorkBefore
Indicates that one work is temporally or sequentially related to another work that precedes it.
-
E.
associatedWorkType
Indicates the type or category of work with which an entity is associated (e.g., publication, artwork, performance).
- 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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff2636e2bc8190bba91eff91431c6e |
completed | May 9, 2026, 12:19 p.m. |
| PD | Predicate disambiguation | batch_69ff25c65be48190868480d94e1c4e89 |
completed | May 9, 2026, 12:17 p.m. |
Created at: May 3, 2026, 4:32 p.m.