Triple
T3781235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joshua Washington |
E85420
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Melinda Washington
Melinda Washington is the child of Joshua Washington, known primarily in relation to him.
|
E403778
|
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: Melinda Washington | Statement: [Joshua Washington, parent, Melinda Washington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melinda Washington Context triple: [Joshua Washington, parent, Melinda Washington]
-
A.
Tracey Scott Wilson
Tracey Scott Wilson is an American playwright, television writer, and screenwriter known for her work in theater and on series such as "The Americans" and "Fosse/Verdon."
-
B.
Lynn Washington
Lynn Washington is an American former professional basketball player best known for his standout career in Japan’s bj league and multiple championship titles with the Osaka Evessa.
-
C.
Melinda Rogers
Melinda Rogers is a Canadian business executive and member of the Rogers family, known for her leadership roles within Rogers Communications.
-
D.
Katia Washington
Katia Washington is an American film producer and the daughter of acclaimed actor Denzel Washington.
-
E.
Larissa Weems
Larissa Weems is a character from the Netflix series "Wednesday," serving as the poised and enigmatic principal of Nevermore Academy.
- 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: Melinda Washington Triple: [Joshua Washington, parent, Melinda Washington]
Generated description
Melinda Washington is the child of Joshua Washington, known primarily in relation to him.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Melinda Washington Target entity description: Melinda Washington is the child of Joshua Washington, known primarily in relation to him.
-
A.
Tracey Scott Wilson
Tracey Scott Wilson is an American playwright, television writer, and screenwriter known for her work in theater and on series such as "The Americans" and "Fosse/Verdon."
-
B.
Lynn Washington
Lynn Washington is an American former professional basketball player best known for his standout career in Japan’s bj league and multiple championship titles with the Osaka Evessa.
-
C.
Melinda Rogers
Melinda Rogers is a Canadian business executive and member of the Rogers family, known for her leadership roles within Rogers Communications.
-
D.
Katia Washington
Katia Washington is an American film producer and the daughter of acclaimed actor Denzel Washington.
-
E.
Larissa Weems
Larissa Weems is a character from the Netflix series "Wednesday," serving as the poised and enigmatic principal of Nevermore Academy.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee3d98b38819094df9569b549124f |
completed | March 9, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b53fde1998819088a4436f3ec7205a |
completed | March 14, 2026, 11 a.m. |
| NEDg | Description generation | batch_69b540c5ab7881908b7ebb0af2f9da46 |
completed | March 14, 2026, 11:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5415e002881908343ae30b2f8a16c |
completed | March 14, 2026, 11:07 a.m. |
Created at: March 9, 2026, 3:12 p.m.