Triple
T3993280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everything Everywhere All at Once |
E87040
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
AGBO
AGBO is an American film and television production company founded by Anthony and Joe Russo, known for producing high-profile genre-bending and blockbuster projects.
|
E404212
|
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: AGBO | Statement: [Everything Everywhere All at Once, productionCompany, AGBO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AGBO Context triple: [Everything Everywhere All at Once, productionCompany, AGBO]
-
A.
GAB
GAB is the three-letter ISO 3166-1 alpha-3 country code assigned to Gabon.
-
B.
AG
AG is the standard abbreviation for the United States Attorney General, the chief law enforcement officer and head of the U.S. Department of Justice.
-
C.
AG
AG is the two-letter ISO 3166-1 alpha-2 country code assigned to Antigua and Barbuda.
-
D.
Gooba
"Gooba" is a 2020 comeback single by American rapper Tekashi 6ix9ine, known for its aggressive style, colorful visuals, and massive online streaming numbers.
-
E.
Aba
Aba is a major commercial and industrial city in southeastern Nigeria, known for its vibrant markets and manufacturing activities.
- 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: AGBO Triple: [Everything Everywhere All at Once, productionCompany, AGBO]
Generated description
AGBO is an American film and television production company founded by Anthony and Joe Russo, known for producing high-profile genre-bending and blockbuster projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AGBO Target entity description: AGBO is an American film and television production company founded by Anthony and Joe Russo, known for producing high-profile genre-bending and blockbuster projects.
-
A.
GAB
GAB is the three-letter ISO 3166-1 alpha-3 country code assigned to Gabon.
-
B.
AG
AG is the standard abbreviation for the United States Attorney General, the chief law enforcement officer and head of the U.S. Department of Justice.
-
C.
AG
AG is the two-letter ISO 3166-1 alpha-2 country code assigned to Antigua and Barbuda.
-
D.
Gooba
"Gooba" is a 2020 comeback single by American rapper Tekashi 6ix9ine, known for its aggressive style, colorful visuals, and massive online streaming numbers.
-
E.
Aba
Aba is a major commercial and industrial city in southeastern Nigeria, known for its vibrant markets and manufacturing activities.
- 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_69aed94118148190975e6aa4e554cde9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa1d9d8c8190982d092a73d38564 |
completed | March 9, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5403970e08190bb491048b1bd7b16 |
completed | March 14, 2026, 11:02 a.m. |
| NEDg | Description generation | batch_69b54112e3788190800e295a745c4689 |
completed | March 14, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b541808d548190987ad1538c647664 |
completed | March 14, 2026, 11:07 a.m. |
Created at: March 9, 2026, 3:33 p.m.