Triple
T32127777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love of Seven Dolls |
E820548
|
entity |
| Predicate | musicalAdaptationPremiereLocation |
P61113
|
FINISHED |
| Object |
Broadway
Broadway is New York City's famed theater district, renowned as the premier destination for large-scale professional stage productions and musicals.
|
E16252
|
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: Broadway | Statement: [Love of Seven Dolls, musicalAdaptationPremiereLocation, Broadway]
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: Broadway Triple: [Love of Seven Dolls, musicalAdaptationPremiereLocation, Broadway]
Generated description
Broadway is New York City's famed theater district, renowned as the premier destination for large-scale professional stage productions and musicals.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalAdaptationPremiereLocation Context triple: [Love of Seven Dolls, musicalAdaptationPremiereLocation, Broadway]
-
A.
theatricalCutPremiereAt
Indicates the location and/or event at which a film’s theatrical cut was first publicly premiered.
-
B.
operaHouseOfPremiere
Indicates the opera house where a particular work was first premiered or originally performed.
-
C.
originalTheatreOfPremiere
Indicates the theatre where a work was first premiered or originally performed.
-
D.
premieredIn
chosen
Indicates that a creative work first publicly debuted or was initially presented in a particular place, event, or context.
-
E.
worldPremierePlace
Indicates the place where something (typically a work or event) was first publicly premiered in the world.
- 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_69f34902d42c819083a8e6bba9a8bb9a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd2839880c819099a7a89783f2270e |
completed | May 8, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2f0bc44be08190adab76bbd233699f |
completed | June 14, 2026, 8:15 p.m. |
| NEDg | Description generation | batch_6a2f0c5dba788190b3ba409c76fcf63b |
completed | June 14, 2026, 8:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2f0cdc1b048190a34f78a36bf5bb0a |
completed | June 14, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69fd23dc5da48190ae8ba08947d34956 |
completed | May 7, 2026, 11:44 p.m. |
Created at: May 1, 2026, 12:29 a.m.