Triple
T14228424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maxwell Smart |
E352685
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Agent 86
Agent 86 is the bumbling yet resourceful secret agent protagonist of the classic satirical spy television series "Get Smart."
|
E1087149
|
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: Agent 86 | Statement: [Maxwell Smart, alsoKnownAs, Agent 86]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agent 86 Context triple: [Maxwell Smart, alsoKnownAs, Agent 86]
-
A.
Agent 13
Agent 13 is the covert alias used by James Wilkinson, a character known as a skilled undercover operative in the Marvel universe.
-
B.
Agent 13
Agent 13 is the codename of Sharon Carter, a highly skilled S.H.I.E.L.D. operative and frequent ally of Captain America in Marvel Comics.
-
C.
Agent 47
Agent 47 is a genetically engineered, barcoded assassin and the silent, methodical protagonist of the Hitman video game franchise.
-
D.
Agent 0054
Agent 0054 is the exaggerated secret-agent persona played by comedian Kevin Hart in his stand-up concert film "Kevin Hart: What Now?".
-
E.
Agent 326
Agent 326 is a fictional spy character known for undertaking covert missions and espionage 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: Agent 86 Triple: [Maxwell Smart, alsoKnownAs, Agent 86]
Generated description
Agent 86 is the bumbling yet resourceful secret agent protagonist of the classic satirical spy television series "Get Smart."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Agent 86 Target entity description: Agent 86 is the bumbling yet resourceful secret agent protagonist of the classic satirical spy television series "Get Smart."
-
A.
Agent 13
Agent 13 is the codename of Sharon Carter, a highly skilled S.H.I.E.L.D. operative and frequent ally of Captain America in Marvel Comics.
-
B.
Agent 13
Agent 13 is the covert alias used by James Wilkinson, a character known as a skilled undercover operative in the Marvel universe.
-
C.
Agent 47
Agent 47 is a genetically engineered, barcoded assassin and the silent, methodical protagonist of the Hitman video game franchise.
-
D.
Agent 0054
Agent 0054 is the exaggerated secret-agent persona played by comedian Kevin Hart in his stand-up concert film "Kevin Hart: What Now?".
-
E.
Agent 326
Agent 326 is a fictional spy character known for undertaking covert missions and espionage 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de622a48508190bbfedb762bd1674d |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd281801488190bcb17d27ee18cde6 |
completed | May 8, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69fd29a470a08190b18c184466bbe0a9 |
completed | May 8, 2026, 12:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2a61842481909388c83480482aeb |
completed | May 8, 2026, 12:12 a.m. |
Created at: April 10, 2026, 1:07 a.m.