Triple
T5736780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Dreamed a Dream |
E126520
|
entity |
| Predicate | firstMajorProduction |
P65525
|
FINISHED |
| Object | 1980 Paris production of Les Misérables |
—
|
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: 1980 Paris production of Les Misérables | Statement: [I Dreamed a Dream, firstMajorProduction, 1980 Paris production of Les Misérables]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMajorProduction Context triple: [I Dreamed a Dream, firstMajorProduction, 1980 Paris production of Les Misérables]
-
A.
firstProductionType
Indicates the type or category of the initial production associated with an entity, such as its first manufacturing, creation, or release process.
-
B.
firstMassProductionBy
Indicates that the subject is the first entity to mass-produce the object or technology referenced.
-
C.
firstProductionAfter
Indicates that one production event occurs immediately after another in a defined sequence or timeline.
-
D.
firstMajorPublication
Indicates the relationship where a work is the earliest significant publication associated with an entity (such as a person or organization).
-
E.
firstMajorProductionLocation
Indicates the location where an entity’s first major production or large-scale manufacturing activity took place.
- F. None of above. chosen
Provenance (4 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_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0255ad6f48190977bf4f037110aa3 |
completed | March 22, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69c021c8195481909419808b002628aa |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c022a50c048190aff24c63e7039dd6 |
completed | March 22, 2026, 5:11 p.m. |
Created at: March 22, 2026, 3:47 p.m.