Triple
T4897483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blood Brothers |
E109716
|
entity |
| Predicate | westEndRunLength |
P54465
|
FINISHED |
| Object | over 24 years |
—
|
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: over 24 years | Statement: [Blood Brothers, westEndRunLength, over 24 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: westEndRunLength Context triple: [Blood Brothers, westEndRunLength, over 24 years]
-
A.
hasWestEndRun
chosen
Indicates that a production or performance has been staged in London’s West End theatre district.
-
B.
westEndProduction
Indicates that one entity is a theatrical production that was staged in London’s West End, associated with the other entity (such as a play, musical, or venue).
-
C.
runsTheLengthOf
Indicates that one entity extends continuously alongside or across the full distance of another entity.
-
D.
runwayEnd
Indicates that one entity represents the end point or terminus of a runway associated with the other entity.
-
E.
runwayLength
Indicates the length of a runway associated with an airport or airfield.
- 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_69bd4410bbf88190aad50d2451c863d6 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd706245e48190a61d573438461c30 |
completed | March 20, 2026, 4:05 p.m. |
| PD | Predicate disambiguation | batch_69bd6c306b188190a08a7856beb76db4 |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:28 p.m.