Triple
T14784424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Go Go Tomago |
E347475
|
entity |
| Predicate | allyOf |
P4662
|
FINISHED |
| Object |
Fred
Fred is a laid-back, monster-obsessed superhero and member of the Big Hero 6 team in Disney’s animated franchise.
|
E347478
|
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: Fred | Statement: [Go Go Tomago, allyOf, Fred]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fred Context triple: [Go Go Tomago, allyOf, Fred]
-
A.
Fred
Fred is Ebenezer Scrooge’s cheerful and warm-hearted nephew in Charles Dickens’s novella "A Christmas Carol."
-
B.
Fred
Fred is a prolific Brazilian striker best known for his goal-scoring exploits with Fluminense and the Brazilian national team.
-
C.
Fred
Fred is a masculine given name commonly used in English-speaking countries, often as a short form of Frederick or Alfred.
-
D.
Fred
Fred is the son of Fred Trump Jr. and the nephew of former U.S. President Donald Trump.
-
E.
Fred
Fred is the given name of Fred Rogers, the beloved American television host and creator of the children's program "Mister Rogers' Neighborhood."
- 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: Fred Triple: [Go Go Tomago, allyOf, Fred]
Generated description
Fred is a laid-back, monster-obsessed superhero and member of the Big Hero 6 team in Disney’s animated franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fred Target entity description: Fred is a laid-back, monster-obsessed superhero and member of the Big Hero 6 team in Disney’s animated franchise.
-
A.
Fred
chosen
Fred is a laid-back, comic book–obsessed college student and enthusiastic member of the superhero team in Disney's animated film "Big Hero 6."
-
B.
Fred
Fred is the prehistoric, loudmouthed but lovable main character of the animated television series "The Flintstones."
-
C.
Fred
Fred is the given name of Fredro Starr, an American rapper and actor best known as a member of the hip hop group Onyx and for his roles in film and television.
-
D.
Fred
Fred is a prolific Brazilian striker best known for his goal-scoring exploits with Fluminense and the Brazilian national team.
-
E.
Fred
Fred is the given name of Fred Rogers, the beloved American television host and creator of the children's program "Mister Rogers' Neighborhood."
- F. None of above.
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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deca9f1c9c8190a8b28ba0ddd3e2e3 |
completed | April 14, 2026, 11:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0d051d9481909e6a5aab6e18b127 |
completed | May 8, 2026, 4:19 p.m. |
| NEDg | Description generation | batch_69fe1333f5fc81908c910ff7031a4e5f |
completed | May 8, 2026, 4:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe139023908190a0423a9f87ed80f7 |
completed | May 8, 2026, 4:47 p.m. |
Created at: April 10, 2026, 1:31 a.m.