Triple
T37510169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York World's Fair Corporation |
E932194
|
entity |
| Predicate | associatedWithEventTheme |
P112320
|
FINISHED |
| Object | The World of Tomorrow |
E371272
|
NE 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: The World of Tomorrow | Statement: [New York World's Fair Corporation, associatedWithEventTheme, The World of Tomorrow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithEventTheme Context triple: [New York World's Fair Corporation, associatedWithEventTheme, The World of Tomorrow]
-
A.
eventTheme
chosen
Indicates that an entity serves as the central subject, topic, or thematic focus of an event.
-
B.
associatedWithEventHost
Indicates that an entity has a relationship or connection with the host of a particular event.
-
C.
associatedWithAuthorTheme
Indicates a relationship where an author is linked to, or characterized by, a particular theme in their work or thought.
-
D.
associatedWithCorporateEvent
Indicates that an entity has a connection or involvement with a specific corporate event.
-
E.
associatedWithTribeFestival
Indicates a relationship where an entity is connected or linked to a specific tribe’s festival, such as by participation, organization, or relevance.
- F. None of above.
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_69f76ec5268481909ea01c73aeeefd42 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a409536fb2081909e12a2251dc09373 |
completed | June 28, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:17 p.m.