Triple
T12533624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greer |
E299630
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Tamara Greer
Tamara Greer is a person notable enough to be recognized as a significant bearer of the surname Greer.
|
E1085449
|
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: Tamara Greer | Statement: [Greer, hasNotableBearer, Tamara Greer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamara Greer Context triple: [Greer, hasNotableBearer, Tamara Greer]
-
A.
Tamara Brooks
Tamara Brooks was an American choral conductor and music educator known for her work with prominent ensembles and contributions to contemporary classical music.
-
B.
Tamara James
Tamara James is an American politician and former professional basketball player who serves as the mayor of Dania Beach, Florida.
-
C.
Tammy Grimes
Tammy Grimes was an American actress and singer best known for her Tony Award–winning work on the Broadway stage, including originating the title role in "The Unsinkable Molly Brown."
-
D.
Laura Davenport
Laura Davenport is the daughter of English actor Nigel Davenport.
-
E.
Melissa Greer
Melissa Greer is a person notable enough to be specifically cited as a bearer of the surname Greer.
- 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: Tamara Greer Triple: [Greer, hasNotableBearer, Tamara Greer]
Generated description
Tamara Greer is a person notable enough to be recognized as a significant bearer of the surname Greer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tamara Greer Target entity description: Tamara Greer is a person notable enough to be recognized as a significant bearer of the surname Greer.
-
A.
Tamara Brooks
Tamara Brooks was an American choral conductor and music educator known for her work with prominent ensembles and contributions to contemporary classical music.
-
B.
Tamara James
Tamara James is an American politician and former professional basketball player who serves as the mayor of Dania Beach, Florida.
-
C.
Tammy Grimes
Tammy Grimes was an American actress and singer best known for her Tony Award–winning work on the Broadway stage, including originating the title role in "The Unsinkable Molly Brown."
-
D.
Laura Davenport
Laura Davenport is the daughter of English actor Nigel Davenport.
-
E.
Melissa Greer
Melissa Greer is a person notable enough to be specifically cited as a bearer of the surname Greer.
- 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_69fd191f84bc819096d6cc6167732a98 |
completed | May 7, 2026, 10:58 p.m. |
| NEDg | Description generation | batch_69fd1ba3ab388190989f7ce32b7eb936 |
completed | May 7, 2026, 11:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd1dc50944819082834db63e6da093 |
completed | May 7, 2026, 11:18 p.m. |
Created at: April 8, 2026, 9:57 p.m.