Triple
T31806660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vexations |
E811889
|
entity |
| Predicate | firstCompletePerformanceVenue |
P142000
|
FINISHED |
| Object |
Pocket Theater
Pocket Theater is an intimate performance venue known for hosting the first complete rendition of Erik Satie’s marathon piano work "Vexations."
|
E1979038
|
NE FINISHED |
How this triple was built (3 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: Pocket Theater | Statement: [Vexations, firstCompletePerformanceVenue, Pocket Theater]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pocket Theater Triple: [Vexations, firstCompletePerformanceVenue, Pocket Theater]
Generated description
Pocket Theater is an intimate performance venue known for hosting the first complete rendition of Erik Satie’s marathon piano work "Vexations."
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCompletePerformanceVenue Context triple: [Vexations, firstCompletePerformanceVenue, Pocket Theater]
-
A.
originalPerformanceVenue
Indicates the venue where a performance was first originally presented or premiered.
-
B.
lastPerformanceVenue
Indicates the venue where an entity most recently gave a performance.
-
C.
firstCompletePerformancePlace
chosen
Indicates the location where something (such as a work, event, or performance) was first fully performed or completed in its entirety.
-
D.
firstPerformanceFestival
Indicates the festival at which an entity (such as a work or performance) was first publicly performed.
-
E.
laterPerformanceVenue
Indicates that a performance or event took place at this venue at a later time than another referenced performance or venue.
- F. None of above.
Provenance (6 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_69f348e70d188190b4637c5509f81274 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2d9d6a5f208190a8810c068bbf33d6 |
completed | June 13, 2026, 6:11 p.m. |
| NEDg | Description generation | batch_6a2da04474e081908f57c586c1db11e6 |
completed | June 13, 2026, 6:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2e5767b5c08190b6ab769558da4220 |
completed | June 14, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 30, 2026, 11:43 p.m.