Triple
T1396238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maynard Jackson |
E30670
|
entity |
| Predicate | succeededBy |
P78
|
FINISHED |
| Object |
Bill Campbell
Bill Campbell is an American politician who served as mayor of Atlanta, Georgia, during the 1990s.
|
E161958
|
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: Bill Campbell | Statement: [Maynard Jackson, succeededBy, Bill Campbell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Campbell Context triple: [Maynard Jackson, succeededBy, Bill Campbell]
-
A.
Ted Cheesman
Ted Cheesman was a film editor best known for his work on classic Hollywood productions, including the 1933 monster film "King Kong."
-
B.
Tim McClelland
Tim McClelland is a former Major League Baseball umpire known for his long tenure, distinctive strike zone, and involvement in several high-profile postseason games.
-
C.
Rob McKenna
Rob McKenna is a perpetually rain-plagued lorry driver in Douglas Adams' "So Long, and Thanks for All the Fish," humorously revealed to be a Rain God unknowingly worshipped by clouds.
-
D.
Rob McKenna
Rob McKenna is an American attorney and politician best known for serving as the Attorney General of Washington State.
-
E.
Bill Marshall
Bill Marshall was a Canadian film producer and cultural entrepreneur best known for co-founding and helping establish the Toronto International Film Festival as a major global cinema event.
- 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: Bill Campbell Triple: [Maynard Jackson, succeededBy, Bill Campbell]
Generated description
Bill Campbell is an American politician who served as mayor of Atlanta, Georgia, during the 1990s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bill Campbell Target entity description: Bill Campbell is an American politician who served as mayor of Atlanta, Georgia, during the 1990s.
-
A.
Ted Cheesman
Ted Cheesman was a film editor best known for his work on classic Hollywood productions, including the 1933 monster film "King Kong."
-
B.
Tim McClelland
Tim McClelland is a former Major League Baseball umpire known for his long tenure, distinctive strike zone, and involvement in several high-profile postseason games.
-
C.
Rob McKenna
Rob McKenna is a perpetually rain-plagued lorry driver in Douglas Adams' "So Long, and Thanks for All the Fish," humorously revealed to be a Rain God unknowingly worshipped by clouds.
-
D.
Rob McKenna
Rob McKenna is an American attorney and politician best known for serving as the Attorney General of Washington State.
-
E.
Bill Marshall
Bill Marshall was a Canadian film producer and cultural entrepreneur best known for co-founding and helping establish the Toronto International Film Festival as a major global cinema event.
- 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_69a498fd4e408190bd73eca30ea9754c |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c37fd6e0819084d610ef041db3af |
completed | March 1, 2026, 10:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace56e32608190a03485d7cb5941a8 |
completed | March 8, 2026, 2:56 a.m. |
| NEDg | Description generation | batch_69ace6527e088190a1ea0ec178b4e0ce |
completed | March 8, 2026, 3 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ace6b543ec819080a5ddeed0273644 |
completed | March 8, 2026, 3:02 a.m. |
Created at: March 1, 2026, 7:59 p.m.