Triple
T9759605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Father Goose |
E236635
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Granox Company
Granox Company is a film production company known for producing the movie "Father Goose."
|
E820564
|
NE FINISHED |
How this triple was built (4 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: Granox Company | Statement: [Father Goose, productionCompany, Granox Company]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Granox Company Context triple: [Father Goose, productionCompany, Granox Company]
-
A.
Gordon Company
Gordon Company is a film production company best known for producing the action classic "Die Hard."
-
B.
Gordon Company
Gordon Company is a film production company best known for its involvement in creating the acclaimed baseball fantasy movie "Field of Dreams."
-
C.
Griffin Company
Griffin Company is a real estate development firm known for its role in creating and managing the University Village shopping center in Seattle.
-
D.
Graham-Newman Corporation
Graham-Newman Corporation was an influential mid-20th-century investment partnership known for pioneering value investing principles under Benjamin Graham’s leadership.
-
E.
Galvin Manufacturing Corporation
Galvin Manufacturing Corporation was the original name of the company that later became Motorola, a major American telecommunications and electronics manufacturer.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Granox Company Triple: [Father Goose, productionCompany, Granox Company]
Generated description
Granox Company is a film production company known for producing the movie "Father Goose."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Granox Company Target entity description: Granox Company is a film production company known for producing the movie "Father Goose."
-
A.
Gordon Company
Gordon Company is a film production company best known for producing the action classic "Die Hard."
-
B.
Gordon Company
Gordon Company is a film production company best known for its involvement in creating the acclaimed baseball fantasy movie "Field of Dreams."
-
C.
Griffin Company
Griffin Company is a real estate development firm known for its role in creating and managing the University Village shopping center in Seattle.
-
D.
Graham-Newman Corporation
Graham-Newman Corporation was an influential mid-20th-century investment partnership known for pioneering value investing principles under Benjamin Graham’s leadership.
-
E.
Galvin Manufacturing Corporation
Galvin Manufacturing Corporation was the original name of the company that later became Motorola, a major American telecommunications and electronics manufacturer.
- F. None of above. chosen
Provenance (5 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda049995c81908569ec61805642b2 |
completed | April 1, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bcdbdbcc8190b2c454729a50f7fb |
completed | April 5, 2026, 1:37 a.m. |
| NEDg | Description generation | batch_69d1be0b960c8190a3c24c8c80cfbe9d |
completed | April 5, 2026, 1:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1bec20dec8190be32069ddf94b915 |
completed | April 5, 2026, 1:45 a.m. |
Created at: March 30, 2026, 8:24 p.m.