Triple
T9009305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Air Force Base |
E215426
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Howard Field
Howard Field is a former United States Air Force installation in Panama that played a key role in U.S. military operations in the Panama Canal Zone.
|
E771139
|
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: Howard Field | Statement: [Howard Air Force Base, alsoKnownAs, Howard Field]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Howard Field Context triple: [Howard Air Force Base, alsoKnownAs, Howard Field]
-
A.
Ron Field
Ron Field was an American choreographer and director best known for his innovative work on Broadway musicals in the mid-20th century.
-
B.
Joseph Fields
Joseph Fields was an American playwright, screenwriter, and producer known for his work on Broadway and in Hollywood during the mid-20th century.
-
C.
David Duffield
David Duffield is an American billionaire entrepreneur and philanthropist best known for founding the enterprise software companies PeopleSoft and Workday.
-
D.
Chris Haywood
Chris Haywood is an Australian actor known for his extensive work in film, television, and theatre since the 1970s.
-
E.
Kevin Hancock
Kevin Hancock is the brother of American filmmaker John Lee Hancock, known for his work as a director and screenwriter.
- 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: Howard Field Triple: [Howard Air Force Base, alsoKnownAs, Howard Field]
Generated description
Howard Field is a former United States Air Force installation in Panama that played a key role in U.S. military operations in the Panama Canal Zone.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Howard Field Target entity description: Howard Field is a former United States Air Force installation in Panama that played a key role in U.S. military operations in the Panama Canal Zone.
-
A.
Ron Field
Ron Field was an American choreographer and director best known for his innovative work on Broadway musicals in the mid-20th century.
-
B.
Joseph Fields
Joseph Fields was an American playwright, screenwriter, and producer known for his work on Broadway and in Hollywood during the mid-20th century.
-
C.
David Duffield
David Duffield is an American billionaire entrepreneur and philanthropist best known for founding the enterprise software companies PeopleSoft and Workday.
-
D.
Chris Haywood
Chris Haywood is an Australian actor known for his extensive work in film, television, and theatre since the 1970s.
-
E.
Kevin Hancock
Kevin Hancock is the brother of American filmmaker John Lee Hancock, known for his work as a director and screenwriter.
- 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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69c00ae8819090786385a72e8baf |
completed | April 1, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0ec84348190944a2310a6a60448 |
completed | April 3, 2026, 2:38 p.m. |
| NEDg | Description generation | batch_69cfd221047c8190ac6c375d516ec57e |
completed | April 3, 2026, 2:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfd2f99dd881909be1cb2b947b9b4e |
completed | April 3, 2026, 2:47 p.m. |
Created at: March 30, 2026, 7:06 p.m.