Triple
T12356145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betrayal |
E294617
|
entity |
| Predicate | firstProducedIn |
P24657
|
FINISHED |
| Object | London theatre |
—
|
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: London theatre | Statement: [Betrayal, firstProducedIn, London theatre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstProducedIn Context triple: [Betrayal, firstProducedIn, London theatre]
-
A.
firstProducedFor
Indicates that something was initially created, manufactured, or developed specifically for a particular recipient, purpose, or context.
-
B.
firstProducedAt
chosen
Indicates the location or context where something was originally created, manufactured, or brought into existence for the first time.
-
C.
firstProductionYear
Indicates the year in which something (such as a product, work, or item) was first produced.
-
D.
firstProduction
Indicates that an entity is the earliest or initial production or manufactured instance associated with another entity.
-
E.
wasFirstBuiltInYear
Indicates that the initial construction of an entity was completed in a specified year.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d942a2d6e08190a13c7ff89af09354 |
completed | April 10, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69d93ecf6b548190a394b6b56a0c1c68 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.