Triple
T14075525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glassboro State College |
E338721
|
entity |
| Predicate | hasAlumni |
P51
|
FINISHED |
| Object |
Herb Conaway
Herb Conaway is an American physician and Democratic politician who has long served in the New Jersey General Assembly.
|
E1094158
|
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: Herb Conaway | Statement: [Glassboro State College, hasAlumni, Herb Conaway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herb Conaway Context triple: [Glassboro State College, hasAlumni, Herb Conaway]
-
A.
Bill Crawford
Bill Crawford is a former United States Air Force enlisted airman and janitor who was belatedly recognized with the Medal of Honor for his heroic actions during World War II.
-
B.
Bill Graves
Bill Graves is an American politician who served as the 43rd Governor of Kansas from 1995 to 2003.
-
C.
Don Payne
Don Payne was an American screenwriter and producer best known for his work on comedic television series like "The Simpsons" and superhero films such as "Thor."
-
D.
George A. McDaniel
George A. McDaniel was an early 20th-century American film actor who appeared in silent-era productions.
-
E.
Ralph Byrd
Ralph Byrd was an American actor best known for playing the comic-strip detective Dick Tracy in a series of films and serials from the 1930s to the 1940s.
- 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: Herb Conaway Triple: [Glassboro State College, hasAlumni, Herb Conaway]
Generated description
Herb Conaway is an American physician and Democratic politician who has long served in the New Jersey General Assembly.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Herb Conaway Target entity description: Herb Conaway is an American physician and Democratic politician who has long served in the New Jersey General Assembly.
-
A.
Bill Crawford
Bill Crawford is a former United States Air Force enlisted airman and janitor who was belatedly recognized with the Medal of Honor for his heroic actions during World War II.
-
B.
Bill Graves
Bill Graves is an American politician who served as the 43rd Governor of Kansas from 1995 to 2003.
-
C.
Don Payne
Don Payne was an American screenwriter and producer best known for his work on comedic television series like "The Simpsons" and superhero films such as "Thor."
-
D.
George A. McDaniel
George A. McDaniel was an early 20th-century American film actor who appeared in silent-era productions.
-
E.
Ralph Byrd
Ralph Byrd was an American actor best known for playing the comic-strip detective Dick Tracy in a series of films and serials from the 1930s to the 1940s.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5cdd288190914e1d57321b3554 |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd466febb88190986eb8f033d29279 |
completed | May 8, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69fd47fa764c8190b1d691f5847b7a05 |
completed | May 8, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd492226888190a014b23e506ab19c |
completed | May 8, 2026, 2:23 a.m. |
Created at: April 9, 2026, 10:21 p.m.