Triple
T8546174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merv Griffin |
E202328
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object |
Merv Griffin Enterprises
Merv Griffin Enterprises was a television production company best known for creating and producing iconic game shows such as "Jeopardy!" and "Wheel of Fortune."
|
E741336
|
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: Merv Griffin Enterprises | Statement: [Merv Griffin, founded, Merv Griffin Enterprises]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Merv Griffin Enterprises Context triple: [Merv Griffin, founded, Merv Griffin Enterprises]
-
A.
MGM Holdings
MGM Holdings is the parent company that owns and oversees Metro-Goldwyn-Mayer’s entertainment assets and operations.
-
B.
Woods Entertainment
Woods Entertainment is a film production company best known for producing the crime drama movie "Cop Land."
-
C.
MGM
MGM is a major American entertainment and hospitality brand best known for its iconic casinos, resorts, and film studio legacy.
-
D.
MGM
MGM is the IATA airport code for Montgomery Regional Airport, the primary commercial airport serving Montgomery, Alabama.
-
E.
MGM
MGM (Metro-Goldwyn-Mayer) is a historic American film studio renowned for its iconic roaring lion logo and for producing many of the most famous movies of Hollywood’s Golden Age.
- 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: Merv Griffin Enterprises Triple: [Merv Griffin, founded, Merv Griffin Enterprises]
Generated description
Merv Griffin Enterprises was a television production company best known for creating and producing iconic game shows such as "Jeopardy!" and "Wheel of Fortune."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Merv Griffin Enterprises Target entity description: Merv Griffin Enterprises was a television production company best known for creating and producing iconic game shows such as "Jeopardy!" and "Wheel of Fortune."
-
A.
MGM Holdings
MGM Holdings is the parent company that owns and oversees Metro-Goldwyn-Mayer’s entertainment assets and operations.
-
B.
Woods Entertainment
Woods Entertainment is a film production company best known for producing the crime drama movie "Cop Land."
-
C.
MGM
MGM is a major American entertainment and hospitality brand best known for its iconic casinos, resorts, and film studio legacy.
-
D.
MGM
MGM is the IATA airport code for Montgomery Regional Airport, the primary commercial airport serving Montgomery, Alabama.
-
E.
MGM
MGM (Metro-Goldwyn-Mayer) is a historic American film studio renowned for its iconic roaring lion logo and for producing many of the most famous movies of Hollywood’s Golden Age.
- 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_69ca832461e88190a654c5e44e233aa8 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe74f62148190bfd6cacf5d4f74b6 |
completed | March 31, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6db3eef08190934f5b42807ad769 |
completed | April 2, 2026, 1:23 p.m. |
| NEDg | Description generation | batch_69ce6ec3b080819082d64646d453541d |
completed | April 2, 2026, 1:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6fe928d48190824e7a94fea5cfc0 |
completed | April 2, 2026, 1:32 p.m. |
Created at: March 30, 2026, 6:18 p.m.