Triple
T16142336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Long Branch |
E391688
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object | John Pallone |
E216520
|
NE FINISHED |
How this triple was built (2 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: John Pallone | Statement: [City of Long Branch, hasMayor, John Pallone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Pallone Context triple: [City of Long Branch, hasMayor, John Pallone]
-
A.
John Pallone
chosen
John Pallone is an American local politician who serves as the mayor of Long Branch, New Jersey.
-
B.
Frank Pallone Jr.
Frank Pallone Jr. is a long-serving Democratic U.S. Representative from New Jersey known for his influential role on health care and environmental policy.
-
C.
Bill Pascrell
Bill Pascrell is an American Democratic politician and longtime member of the U.S. House of Representatives from New Jersey.
-
D.
Josh Gottheimer
Josh Gottheimer is a Democratic U.S. Representative from New Jersey known for his centrist positions and membership in the bipartisan Problem Solvers Caucus.
-
E.
Michael Blumenthal
Michael Blumenthal is a German-born American economist, businessman, and former U.S. Secretary of the Treasury who later served as director of the Jewish Museum Berlin.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d9082588190bc7e6ff491f0d94e |
completed | April 17, 2026, 11:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2b75988819094baaff8f53f48ce |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5:01 a.m.