Triple
T36125160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Thief and the Cobbler |
E1044857
|
entity |
| Predicate | longProductionHistory |
P71432
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Thief and the Cobbler, longProductionHistory, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: longProductionHistory Context triple: [The Thief and the Cobbler, longProductionHistory, true]
-
A.
hasProductionHistory
Indicates that an entity is associated with a record or account of its past production activities, processes, or outputs.
-
B.
hasLongHistory
chosen
Indicates that the relationship or subject has existed or persisted over a long period of time.
-
C.
longRunningProduction
Indicates a production process or operation that continues for an extended duration, typically beyond normal or expected timeframes.
-
D.
longRunningProductionLocation
Indicates that a production process or activity is carried out at a location over an extended or continuous period of time.
-
E.
longRunningProductionOpened
Indicates that a production has begun and is expected to continue for an extended or indefinite period of time.
- 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_69f76e356c908190abc6ca1e6a05b011 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b3e2f3c08190be4fd1ae4fa1266d |
completed | May 3, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bcc47081909fe7d592ac69006c |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.