Triple
T4897484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blood Brothers |
E109716
|
entity |
| Predicate | numberOfWestEndPerformances |
P60529
|
FINISHED |
| Object | over 10,000 |
—
|
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 10,000 | Statement: [Blood Brothers, numberOfWestEndPerformances, over 10,000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWestEndPerformances Context triple: [Blood Brothers, numberOfWestEndPerformances, over 10,000]
-
A.
numberOfBroadwayPerformances
Indicates the total count of times a production or performance has been staged on Broadway.
-
B.
numberOfExtantPlays
Indicates the quantity of plays by an entity that are still in existence or have survived to the present.
-
C.
hasWestEndRun
Indicates that a production or performance has been staged in London’s West End theatre district.
-
D.
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).
-
E.
numberOfActs
Indicates the total count of discrete acts or actions associated with a given entity or event.
- 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_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. |
| PDg | Predicate description generation | batch_69bd7060f9988190afdf98eb0a38515d |
completed | March 20, 2026, 4:05 p.m. |
Created at: March 20, 2026, 1:28 p.m.