Triple
T15330007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girlfriends |
E366507
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Persia White
Persia White is an American actress and musician best known for her role as Lynn Searcy on the television sitcom "Girlfriends."
|
E1150012
|
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: Persia White | Statement: [Girlfriends, hasCastMember, Persia White]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Persia White Context triple: [Girlfriends, hasCastMember, Persia White]
-
A.
Albine
Albine is a central character in Émile Zola’s novel *La Faute de l’Abbé Mouret*, symbolizing natural innocence and forbidden love in contrast to the priest’s religious devotion.
-
B.
Bianco
Bianco is an Italian surname commonly associated with individuals of Italian heritage, including the artist Enrico Bianco.
-
C.
Seal Point
Seal Point is a coastal headland or promontory located near Hope Bay on the Antarctic Peninsula.
-
D.
Blanc
Blanc is the surname of Mel Blanc, the legendary American voice actor best known for bringing to life many iconic Looney Tunes characters.
-
E.
Branca
Branca is a surname most notably associated with former Major League Baseball pitcher Ralph Branca.
- 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: Persia White Triple: [Girlfriends, hasCastMember, Persia White]
Generated description
Persia White is an American actress and musician best known for her role as Lynn Searcy on the television sitcom "Girlfriends."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Persia White Target entity description: Persia White is an American actress and musician best known for her role as Lynn Searcy on the television sitcom "Girlfriends."
-
A.
Albine
Albine is a central character in Émile Zola’s novel *La Faute de l’Abbé Mouret*, symbolizing natural innocence and forbidden love in contrast to the priest’s religious devotion.
-
B.
Bianco
Bianco is an Italian surname commonly associated with individuals of Italian heritage, including the artist Enrico Bianco.
-
C.
Seal Point
Seal Point is a coastal headland or promontory located near Hope Bay on the Antarctic Peninsula.
-
D.
Blanc
Blanc is the surname of Mel Blanc, the legendary American voice actor best known for bringing to life many iconic Looney Tunes characters.
-
E.
Branca
Branca is a surname most notably associated with former Major League Baseball pitcher Ralph Branca.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e0161ac8190aa1d52c063c02ad0 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8b1b2d08190a158bf65535ad750 |
completed | May 9, 2026, 9:04 a.m. |
| NEDg | Description generation | batch_69fefb10ba78819094948f5401702e79 |
completed | May 9, 2026, 9:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fefbad7de08190aa2479ec0243e3a6 |
completed | May 9, 2026, 9:17 a.m. |
Created at: April 10, 2026, 3:17 a.m.