Triple
T14075528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glassboro State College |
E338721
|
entity |
| Predicate | hasAlumni |
P51
|
FINISHED |
| Object |
Bruce Land
Bruce Land is an American electrical engineer and educator known for his influential teaching and microcontroller design work at Cornell University.
|
E1077097
|
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: Bruce Land | Statement: [Glassboro State College, hasAlumni, Bruce Land]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bruce Land Context triple: [Glassboro State College, hasAlumni, Bruce Land]
-
A.
David Land
David Land was a British theatrical producer and impresario known for his work on major stage productions, including the musical "Evita."
-
B.
Bob Landers
Bob Landers is a fictional character from the American television sitcom "The Debbie Reynolds Show."
-
C.
Danny B. Landres
Danny B. Landres was an American film editor and director known for his work on mid-20th-century science fiction and genre films.
-
D.
Thomas Land
Thomas Land is a family-friendly themed area based on the "Thomas & Friends" franchise, featuring character-themed rides and attractions for young children.
-
E.
Jay Landers
Jay Landers is an American record producer and A&R executive best known for his extensive work with major artists such as Barbra Streisand and Josh Groban.
- 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: Bruce Land Triple: [Glassboro State College, hasAlumni, Bruce Land]
Generated description
Bruce Land is an American electrical engineer and educator known for his influential teaching and microcontroller design work at Cornell University.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bruce Land Target entity description: Bruce Land is an American electrical engineer and educator known for his influential teaching and microcontroller design work at Cornell University.
-
A.
David Land
David Land was a British theatrical producer and impresario known for his work on major stage productions, including the musical "Evita."
-
B.
Bob Landers
Bob Landers is a fictional character from the American television sitcom "The Debbie Reynolds Show."
-
C.
Danny B. Landres
Danny B. Landres was an American film editor and director known for his work on mid-20th-century science fiction and genre films.
-
D.
Thomas Land
Thomas Land is a family-friendly themed area based on the "Thomas & Friends" franchise, featuring character-themed rides and attractions for young children.
-
E.
Jay Landers
Jay Landers is an American record producer and A&R executive best known for his extensive work with major artists such as Barbra Streisand and Josh Groban.
- 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_69fcb670f51c819088e8d0137f8d3bb1 |
completed | May 7, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69fcbef464248190881012d92777557c |
completed | May 7, 2026, 4:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcbfbae7608190a8d8cf0fa270df9d |
completed | May 7, 2026, 4:37 p.m. |
Created at: April 9, 2026, 10:21 p.m.