Triple
T12533653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greer |
E299630
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Emily Greer
Emily Greer is a notable individual recognized as a prominent bearer of the surname Greer.
|
E1013345
|
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: Emily Greer | Statement: [Greer, hasNotableBearer, Emily Greer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emily Greer Context triple: [Greer, hasNotableBearer, Emily Greer]
-
A.
Sarah Greer
Sarah Greer is a British academic and higher education leader who serves as Vice-Chancellor of the University of Winchester.
-
B.
Elizabeth Greer
Elizabeth Greer is a British actress known for her work in film, television, and theatre.
-
C.
Kate Burroughs
Kate Burroughs is the central protagonist of the film "The Four Seasons," around whom the story’s relationships and events revolve.
-
D.
Erica Mann
Erica Mann was the daughter of American film director Daniel Mann and is primarily known in relation to her father's legacy in Hollywood.
-
E.
Erica Mann
Erica Mann is the wife of late American actor, director, and writer Harold Ramis, known for his work on films like "Ghostbusters" and "Groundhog Day."
- 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: Emily Greer Triple: [Greer, hasNotableBearer, Emily Greer]
Generated description
Emily Greer is a notable individual recognized as a prominent bearer of the surname Greer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emily Greer Target entity description: Emily Greer is a notable individual recognized as a prominent bearer of the surname Greer.
-
A.
Sarah Greer
Sarah Greer is a British academic and higher education leader who serves as Vice-Chancellor of the University of Winchester.
-
B.
Elizabeth Greer
Elizabeth Greer is a British actress known for her work in film, television, and theatre.
-
C.
Kate Burroughs
Kate Burroughs is the central protagonist of the film "The Four Seasons," around whom the story’s relationships and events revolve.
-
D.
Erica Mann
Erica Mann was the daughter of American film director Daniel Mann and is primarily known in relation to her father's legacy in Hollywood.
-
E.
Erica Mann
Erica Mann is the wife of late American actor, director, and writer Harold Ramis, known for his work on films like "Ghostbusters" and "Groundhog Day."
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9546b8fd48190ae90e80785b2e2d1 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8be566c81908fba8e8caabbd93c |
completed | May 3, 2026, 2:53 a.m. |
| NEDg | Description generation | batch_69f6b9a1ca54819085da2ca592bf5219 |
completed | May 3, 2026, 2:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb03d8d88190930edd0f49fec8aa |
completed | May 3, 2026, 3:03 a.m. |
Created at: April 8, 2026, 9:57 p.m.