Triple
T22065538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayor of Newark |
E545256
|
entity |
| Predicate | officeHolder |
P537
|
FINISHED |
| Object |
William Halsey
William Halsey was a historical political figure who served as mayor of Newark, New Jersey.
|
E1516389
|
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: William Halsey | Statement: [Mayor of Newark, officeHolder, William Halsey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Halsey Context triple: [Mayor of Newark, officeHolder, William Halsey]
-
A.
William Halsey Jr.
William Halsey Jr. was a prominent U.S. Navy admiral in World War II, known for his aggressive leadership in the Pacific Theater.
-
B.
William L. Halsey
William L. Halsey was an American railroad official after whom the city of Halsey, Oregon, was named.
-
C.
William F. Halsey Sr.
William F. Halsey Sr. was the father of U.S. Navy Fleet Admiral William F. Halsey Jr., a prominent American naval leader in World War II.
-
D.
Raymond A. Spruance
Raymond A. Spruance was a highly respected U.S. Navy admiral of World War II, renowned for his calm, analytical leadership in pivotal Pacific battles.
-
E.
Henry David Halsey
Henry David Halsey was an Anglican clergyman who served as a suffragan bishop in the Church of England.
- 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: William Halsey Triple: [Mayor of Newark, officeHolder, William Halsey]
Generated description
William Halsey was a historical political figure who served as mayor of Newark, New Jersey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: William Halsey Target entity description: William Halsey was a historical political figure who served as mayor of Newark, New Jersey.
-
A.
William Halsey Jr.
William Halsey Jr. was a prominent U.S. Navy admiral in World War II, known for his aggressive leadership in the Pacific Theater.
-
B.
William L. Halsey
William L. Halsey was an American railroad official after whom the city of Halsey, Oregon, was named.
-
C.
William F. Halsey Sr.
William F. Halsey Sr. was the father of U.S. Navy Fleet Admiral William F. Halsey Jr., a prominent American naval leader in World War II.
-
D.
Raymond A. Spruance
Raymond A. Spruance was a highly respected U.S. Navy admiral of World War II, renowned for his calm, analytical leadership in pivotal Pacific battles.
-
E.
Henry David Halsey
Henry David Halsey was an Anglican clergyman who served as a suffragan bishop in the Church of England.
- 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12883d2108190a6127783f8f635fc |
completed | April 28, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a80af70208190b13181f4be83f876 |
completed | May 18, 2026, 2:59 a.m. |
| NEDg | Description generation | batch_6a0a8187516481909d8075dfc025614e |
completed | May 18, 2026, 3:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a8267498481908a2ba238fcdc1547 |
completed | May 18, 2026, 3:07 a.m. |
Created at: April 16, 2026, 8:27 p.m.