Triple
T31415819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North American film market |
E801389
|
entity |
| Predicate | mainReportingAgency |
P102203
|
FINISHED |
| Object |
Box Office Mojo
Box Office Mojo is a popular online database and analytics platform that tracks and reports detailed box office revenue and performance statistics for films, particularly in the North American market.
|
E1961476
|
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: Box Office Mojo | Statement: [North American film market, mainReportingAgency, Box Office Mojo]
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: Box Office Mojo Triple: [North American film market, mainReportingAgency, Box Office Mojo]
Generated description
Box Office Mojo is a popular online database and analytics platform that tracks and reports detailed box office revenue and performance statistics for films, particularly in the North American market.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainReportingAgency Context triple: [North American film market, mainReportingAgency, Box Office Mojo]
-
A.
primaryAgency
Indicates that one entity serves as the main responsible agent or acting party in relation to another entity or event.
-
B.
hasBureau
Indicates that an entity is associated with or possesses a specific bureau, such as an office, department, or administrative unit.
-
C.
publicAgency
Indicates that an entity functions as a government-controlled or government-authorized organization that provides public services or carries out public administration.
-
D.
relevantAgency
chosen
Indicates that an agency has authority, responsibility, or significant involvement in relation to a particular matter, entity, or action.
-
E.
countryAgency
Indicates that a particular agency is officially associated with, operates within, or is governed by a specific country.
- 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_69f348c0dd648190bf2fd7642f78eb06 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a916d2e08190bafc01cba73b6469 |
completed | May 3, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2ad258516c819086cfd3c0a8279e4c |
completed | June 11, 2026, 3:20 p.m. |
| NEDg | Description generation | batch_6a2ad2e15f688190a6e7c1fa74236b96 |
completed | June 11, 2026, 3:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2adf16a66881909c0832bfe307d749 |
completed | June 11, 2026, 4:15 p.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 8:43 p.m.