Triple
T5104247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cats (musical) |
E115051
|
entity |
| Predicate | recordStatusWestEnd |
P61134
|
FINISHED |
| Object | later surpassed by 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: later surpassed by Les Misérables | Statement: [Cats (musical), recordStatusWestEnd, later surpassed by Les Misérables]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordStatusWestEnd Context triple: [Cats (musical), recordStatusWestEnd, later surpassed by Les Misérables]
-
A.
hasWestEndRun
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.
numberOfWestEndPerformances
Indicates the total count of performances of a production that took place in London’s West End.
-
D.
hasTerminusWest
Indicates that something has its western endpoint, terminus, or final stop at the referenced entity.
-
E.
westsideTrailStatus
Indicates the current condition or operational status of the Westside Trail, such as whether it is open, closed, or restricted.
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7588c1cc81909d380f91ee214808 |
completed | March 20, 2026, 4:27 p.m. |
| PD | Predicate disambiguation | batch_69bd715e06808190931934dc9930f997 |
completed | March 20, 2026, 4:10 p.m. |
| PDg | Predicate description generation | batch_69bd738ac2e0819099c06cdcc5e21d28 |
completed | March 20, 2026, 4:19 p.m. |
Created at: March 20, 2026, 1:41 p.m.