Triple
T6953302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Best Man |
E161179
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object |
Melissa De Sousa
Melissa De Sousa is an American actress best known for her role as Shelby in the romantic comedy-drama film "The Best Man" and its sequels.
|
E649365
|
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: Melissa De Sousa | Statement: [The Best Man, leadActor, Melissa De Sousa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melissa De Sousa Context triple: [The Best Man, leadActor, Melissa De Sousa]
-
A.
Melissa Rycroft
Melissa Rycroft is an American television personality and former Dallas Cowboys Cheerleader best known for her appearances on reality shows such as The Bachelor and Dancing with the Stars.
-
B.
Laura Lopes
Laura Lopes is a British art curator and gallery co-founder, best known as the daughter of Queen Camilla and her first husband, Andrew Parker Bowles.
-
C.
Melissa Agretti
Melissa Agretti is a central, scheming heiress character from the 1980s American prime-time soap opera "Falcon Crest."
-
D.
Melanie Sorich
Melanie Sorich is the wife of American character actor Clint Howard.
-
E.
Melissa Thomas
Melissa Thomas is known as the wife of American screenwriter and director David Koepp.
- 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: Melissa De Sousa Triple: [The Best Man, leadActor, Melissa De Sousa]
Generated description
Melissa De Sousa is an American actress best known for her role as Shelby in the romantic comedy-drama film "The Best Man" and its sequels.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Melissa De Sousa Target entity description: Melissa De Sousa is an American actress best known for her role as Shelby in the romantic comedy-drama film "The Best Man" and its sequels.
-
A.
Melissa Rycroft
Melissa Rycroft is an American television personality and former Dallas Cowboys Cheerleader best known for her appearances on reality shows such as The Bachelor and Dancing with the Stars.
-
B.
Laura Lopes
Laura Lopes is a British art curator and gallery co-founder, best known as the daughter of Queen Camilla and her first husband, Andrew Parker Bowles.
-
C.
Melissa Agretti
Melissa Agretti is a central, scheming heiress character from the 1980s American prime-time soap opera "Falcon Crest."
-
D.
Melanie Sorich
Melanie Sorich is the wife of American character actor Clint Howard.
-
E.
Melissa Thomas
Melissa Thomas is known as the wife of American screenwriter and director David Koepp.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dab18d648190a2f238fce3e59365 |
completed | March 27, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bf709c4c819090c35eb41f46f5d2 |
completed | March 28, 2026, 11:45 a.m. |
| NEDg | Description generation | batch_69c7c08e0db88190ac0142980288cd72 |
completed | March 28, 2026, 11:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7c1576818819087ad2d847f140433 |
completed | March 28, 2026, 11:53 a.m. |
Created at: March 27, 2026, 2:29 p.m.