Triple
T18168698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meet John Doe |
E434962
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Mayor Lovett
Mayor Lovett is a fictional political figure who serves as the central character in the story "Meet John Doe."
|
E1310005
|
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: Mayor Lovett | Statement: [Meet John Doe, mainCharacter, Mayor Lovett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mayor Lovett Context triple: [Meet John Doe, mainCharacter, Mayor Lovett]
-
A.
Mayor Keane
Mayor Keane is a fictional political leader featured in the television series "The Salvation."
-
B.
Mayor Quimby
Mayor Quimby is a fictional, Kennedy-esque, often corrupt mayor of Springfield on the animated television series "The Simpsons."
-
C.
Mayor McGerkle
Mayor McGerkle is a cheerful, well-meaning civic leader in the 2018 animated film "The Grinch," serving as the enthusiastic mayor of Whoville.
-
D.
Mayor Goodway
Mayor Goodway is a kind-hearted and responsible mayor from the children's animated series "PAW Patrol," known for leading Adventure Bay and frequently calling on the pups for help.
-
E.
Mayor Dewey
Mayor Dewey is the bumbling, publicity-obsessed mayor of Beach City in the animated series "Steven Universe."
- 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: Mayor Lovett Triple: [Meet John Doe, mainCharacter, Mayor Lovett]
Generated description
Mayor Lovett is a fictional political figure who serves as the central character in the story "Meet John Doe."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mayor Lovett Target entity description: Mayor Lovett is a fictional political figure who serves as the central character in the story "Meet John Doe."
-
A.
Mayor Keane
Mayor Keane is a fictional political leader featured in the television series "The Salvation."
-
B.
Mayor Quimby
Mayor Quimby is a fictional, Kennedy-esque, often corrupt mayor of Springfield on the animated television series "The Simpsons."
-
C.
Mayor McGerkle
Mayor McGerkle is a cheerful, well-meaning civic leader in the 2018 animated film "The Grinch," serving as the enthusiastic mayor of Whoville.
-
D.
Mayor Goodway
Mayor Goodway is a kind-hearted and responsible mayor from the children's animated series "PAW Patrol," known for leading Adventure Bay and frequently calling on the pups for help.
-
E.
Mayor Dewey
Mayor Dewey is the bumbling, publicity-obsessed mayor of Beach City in the animated series "Steven Universe."
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4df53ef148190a32aad0253547645 |
completed | April 19, 2026, 1:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a038fc6c5008190a5ade67801d6df75 |
completed | May 12, 2026, 8:38 p.m. |
| NEDg | Description generation | batch_6a03914c5f6081908963548dc01a524a |
completed | May 12, 2026, 8:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03925c322081909d435251e869194d |
completed | May 12, 2026, 8:49 p.m. |
Created at: April 10, 2026, 10:30 a.m.