Triple
T14989094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Dumbo Drop |
E373783
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Specialist 4 Ash
Specialist 4 Ash is a supporting U.S. Army character in the 1995 family war-comedy film "Operation Dumbo Drop."
|
E1131500
|
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: Specialist 4 Ash | Statement: [Operation Dumbo Drop, hasCharacter, Specialist 4 Ash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Specialist 4 Ash Context triple: [Operation Dumbo Drop, hasCharacter, Specialist 4 Ash]
-
A.
Talon
Talon is the bald eagle mascot of Major League Soccer club D.C. United, known for representing the team's fierce and patriotic spirit.
-
B.
Talon
Talon is a shadowy terrorist organization in the Overwatch universe, known for orchestrating global conflict and employing deadly operatives like Reaper and Doomfist.
-
C.
Talon
Talon is a surname most prominently associated with Patrice Talon, the businessman and President of Benin.
-
D.
Shoto
Shoto is an upscale residential neighborhood in Tokyo’s Shibuya ward, known for its quiet streets, cultural institutions, and affluent atmosphere.
-
E.
Asa Kazato
Asa Kazato is a central character in the visual novel "If My Heart Had Wings," known for her quiet demeanor and involvement in the story’s themes of youth, dreams, and aviation.
- 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: Specialist 4 Ash Triple: [Operation Dumbo Drop, hasCharacter, Specialist 4 Ash]
Generated description
Specialist 4 Ash is a supporting U.S. Army character in the 1995 family war-comedy film "Operation Dumbo Drop."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Specialist 4 Ash Target entity description: Specialist 4 Ash is a supporting U.S. Army character in the 1995 family war-comedy film "Operation Dumbo Drop."
-
A.
Talon
Talon is the bald eagle mascot of Major League Soccer club D.C. United, known for representing the team's fierce and patriotic spirit.
-
B.
Talon
Talon is a shadowy terrorist organization in the Overwatch universe, known for orchestrating global conflict and employing deadly operatives like Reaper and Doomfist.
-
C.
Talon
Talon is a surname most prominently associated with Patrice Talon, the businessman and President of Benin.
-
D.
Shoto
Shoto is an upscale residential neighborhood in Tokyo’s Shibuya ward, known for its quiet streets, cultural institutions, and affluent atmosphere.
-
E.
Asa Kazato
Asa Kazato is a central character in the visual novel "If My Heart Had Wings," known for her quiet demeanor and involvement in the story’s themes of youth, dreams, and aviation.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7148a308190a687f4d0d61397c6 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe969683348190bb4688f24227af88 |
completed | May 9, 2026, 2:06 a.m. |
| NEDg | Description generation | batch_69fe98a230948190b35e2883475cff33 |
completed | May 9, 2026, 2:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe993c6094819086f0de1743272fd4 |
completed | May 9, 2026, 2:17 a.m. |
Created at: April 10, 2026, 2:53 a.m.