Triple
T13366813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parker and Vann Thomson Plaza for the Arts |
E318959
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Parker Thomson
Parker Thomson was a prominent Miami attorney and philanthropist known for his significant support of the performing arts.
|
E1037663
|
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: Parker Thomson | Statement: [Parker and Vann Thomson Plaza for the Arts, namedAfter, Parker Thomson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parker Thomson Context triple: [Parker and Vann Thomson Plaza for the Arts, namedAfter, Parker Thomson]
-
A.
Parker Harris
Parker Harris is a technology entrepreneur best known as a co-founder and longtime chief technology leader of the cloud-based software company Salesforce.
-
B.
Parker Laramie
Parker Laramie is an editor known for working on the film "Jockey."
-
C.
Marcus Parker
Marcus Parker is a person known primarily as the brother of former NBA player Anthony Parker.
-
D.
Parker Williams
Parker Williams is a fictional character from the television series "In the Heat of the Night," serving as a deputy in the Sparta, Mississippi police department.
-
E.
Jacob Parker
Jacob Parker is an actor known for his role in the American television sitcom "Evening Shade."
- 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: Parker Thomson Triple: [Parker and Vann Thomson Plaza for the Arts, namedAfter, Parker Thomson]
Generated description
Parker Thomson was a prominent Miami attorney and philanthropist known for his significant support of the performing arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Parker Thomson Target entity description: Parker Thomson was a prominent Miami attorney and philanthropist known for his significant support of the performing arts.
-
A.
Parker Harris
Parker Harris is a technology entrepreneur best known as a co-founder and longtime chief technology leader of the cloud-based software company Salesforce.
-
B.
Parker Laramie
Parker Laramie is an editor known for working on the film "Jockey."
-
C.
Marcus Parker
Marcus Parker is a person known primarily as the brother of former NBA player Anthony Parker.
-
D.
Parker Williams
Parker Williams is a fictional character from the television series "In the Heat of the Night," serving as a deputy in the Sparta, Mississippi police department.
-
E.
Jacob Parker
Jacob Parker is an actor known for his role in the American television sitcom "Evening Shade."
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadcd652d48190a782fd1f57f34b6a |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72680df088190b8dbcc8ad0d7366e |
completed | May 3, 2026, 10:42 a.m. |
| NEDg | Description generation | batch_69f727512c94819091985c7942f40b31 |
completed | May 3, 2026, 10:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f72b77d650819092c02f6488b2cfb2 |
completed | May 3, 2026, 11:03 a.m. |
Created at: April 9, 2026, 9:32 p.m.