Triple
T14075508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glassboro State College |
E338721
|
entity |
| Predicate | hasAlumni |
P51
|
FINISHED |
| Object |
Fred H. Madden
Fred H. Madden is an American Democratic politician who has served in the New Jersey State Senate, representing the 4th Legislative District.
|
E1084055
|
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: Fred H. Madden | Statement: [Glassboro State College, hasAlumni, Fred H. Madden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fred H. Madden Context triple: [Glassboro State College, hasAlumni, Fred H. Madden]
-
A.
Peter Forbath
Peter Forbath is an author best known for writing the memoir "Honorable Men: My Life in the CIA," which recounts experiences within the U.S. intelligence community.
-
B.
Frank Mullen
Frank Mullen is an American death metal vocalist best known as the longtime frontman of the band Suffocation.
-
C.
Joe Freeman
Joe Freeman is the son of English actor Martin Freeman.
-
D.
Gene Keady
Gene Keady is a highly respected American college basketball coach best known for his long, successful tenure leading the Purdue Boilermakers.
-
E.
Murray Edelman
Murray Edelman was an American political scientist best known for his influential work on political symbolism and the construction of political reality.
- 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: Fred H. Madden Triple: [Glassboro State College, hasAlumni, Fred H. Madden]
Generated description
Fred H. Madden is an American Democratic politician who has served in the New Jersey State Senate, representing the 4th Legislative District.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fred H. Madden Target entity description: Fred H. Madden is an American Democratic politician who has served in the New Jersey State Senate, representing the 4th Legislative District.
-
A.
Peter Forbath
Peter Forbath is an author best known for writing the memoir "Honorable Men: My Life in the CIA," which recounts experiences within the U.S. intelligence community.
-
B.
Frank Mullen
Frank Mullen is an American death metal vocalist best known as the longtime frontman of the band Suffocation.
-
C.
Joe Freeman
Joe Freeman is the son of English actor Martin Freeman.
-
D.
Gene Keady
Gene Keady is a highly respected American college basketball coach best known for his long, successful tenure leading the Purdue Boilermakers.
-
E.
Murray Edelman
Murray Edelman was an American political scientist best known for his influential work on political symbolism and the construction of political reality.
- 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_69fcf7dc62b081909f3c9259295064cf |
completed | May 7, 2026, 8:36 p.m. |
| NEDg | Description generation | batch_69fd066f900c8190a4e2674a25a6f510 |
completed | May 7, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd06e35174819098c33a741f1581fc |
completed | May 7, 2026, 9:40 p.m. |
Created at: April 9, 2026, 10:21 p.m.