Triple
T10544360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dino Brewster |
E248776
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object |
Anita Coleman
Anita Coleman is a fictional character known as a relative of Dino Brewster in the "Need for Speed" film universe.
|
E1032935
|
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: Anita Coleman | Statement: [Dino Brewster, relative, Anita Coleman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anita Coleman Context triple: [Dino Brewster, relative, Anita Coleman]
-
A.
Ann Coleman
Ann Coleman was a key benefactor and restorer of France’s Château de Villandry, helping to preserve and revive the historic Renaissance estate and its renowned gardens.
-
B.
Anita Dixon
Anita Dixon is a character in the 1941 romantic drama film "Hold Back the Dawn," involved in the story’s complex web of relationships and emotional conflicts.
-
C.
Anita Livingston
Anita Livingston is the mother of American singer, pianist, and actor Harry Connick Jr.
-
D.
Anita Thompson
Anita Thompson is an American author and editor best known for preserving and promoting the legacy of her late husband, gonzo journalist Hunter S. Thompson.
-
E.
Anna Coleman
Anna Coleman is the rebellious teenage daughter who swaps bodies with her strict mother in the 2003 fantasy-comedy film "Freaky Friday."
- 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: Anita Coleman Triple: [Dino Brewster, relative, Anita Coleman]
Generated description
Anita Coleman is a fictional character known as a relative of Dino Brewster in the "Need for Speed" film universe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anita Coleman Target entity description: Anita Coleman is a fictional character known as a relative of Dino Brewster in the "Need for Speed" film universe.
-
A.
Ann Coleman
Ann Coleman was a key benefactor and restorer of France’s Château de Villandry, helping to preserve and revive the historic Renaissance estate and its renowned gardens.
-
B.
Anita Dixon
Anita Dixon is a character in the 1941 romantic drama film "Hold Back the Dawn," involved in the story’s complex web of relationships and emotional conflicts.
-
C.
Anita Livingston
Anita Livingston is the mother of American singer, pianist, and actor Harry Connick Jr.
-
D.
Anita Thompson
Anita Thompson is an American author and editor best known for preserving and promoting the legacy of her late husband, gonzo journalist Hunter S. Thompson.
-
E.
Anna Coleman
Anna Coleman is the rebellious teenage daughter who swaps bodies with her strict mother in the 2003 fantasy-comedy film "Freaky Friday."
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d519128cac819086c93f3bab854ac2 |
completed | April 7, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716adaed081909a6c026f9e232381 |
completed | May 3, 2026, 9:34 a.m. |
| NEDg | Description generation | batch_69f717b7b6dc8190ab323c1926dd9adb |
completed | May 3, 2026, 9:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7186b6218819096c67e9dd9af609f |
completed | May 3, 2026, 9:42 a.m. |
Created at: April 6, 2026, 12:32 p.m.