Triple
T13197079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diane Nguyen |
E314139
|
entity |
| Predicate | worksFor |
P5820
|
FINISHED |
| Object |
Girl Croosh
Girl Croosh is a feminist, socially conscious online media outlet featured in the animated series "BoJack Horseman."
|
E1026314
|
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: Girl Croosh | Statement: [Diane Nguyen, worksFor, Girl Croosh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Girl Croosh Context triple: [Diane Nguyen, worksFor, Girl Croosh]
-
A.
Niña
Niña was one of the three ships in Christopher Columbus’s 1492 voyage across the Atlantic, notable for its role in the first European expedition to the Americas.
-
B.
Chloe
Chloe is an American singer, songwriter, and actress best known as one half of the R&B duo Chloe x Halle.
-
C.
Chloe
Chloe is an epithet of the Greek goddess Demeter, highlighting her aspect as the bringer of new green growth and flourishing vegetation.
-
D.
Chloe
Chloe is a 2009 psychological thriller film directed by Atom Egoyan, known for its themes of infidelity and obsession and starring Amanda Seyfried, Julianne Moore, and Liam Neeson.
-
E.
Chloe
Chloe is the pampered white Chihuahua who serves as the central protagonist in the family comedy film "Beverly Hills Chihuahua."
- 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: Girl Croosh Triple: [Diane Nguyen, worksFor, Girl Croosh]
Generated description
Girl Croosh is a feminist, socially conscious online media outlet featured in the animated series "BoJack Horseman."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Girl Croosh Target entity description: Girl Croosh is a feminist, socially conscious online media outlet featured in the animated series "BoJack Horseman."
-
A.
Niña
Niña was one of the three ships in Christopher Columbus’s 1492 voyage across the Atlantic, notable for its role in the first European expedition to the Americas.
-
B.
Chloe
Chloe is a 2009 psychological thriller film directed by Atom Egoyan, known for its themes of infidelity and obsession and starring Amanda Seyfried, Julianne Moore, and Liam Neeson.
-
C.
Chloe
Chloe is a sarcastic, food-loving, overweight gray tabby cat from the animated film "The Secret Life of Pets."
-
D.
Chloe
Chloe is an American singer, songwriter, and actress best known as one half of the R&B duo Chloe x Halle.
-
E.
Chloe
Chloe is the pampered white Chihuahua who serves as the central protagonist in the family comedy film "Beverly Hills Chihuahua."
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c626058819086f604b11af2d4eb |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f605a48c81909373fcd9dd896b3d |
completed | May 3, 2026, 7:15 a.m. |
| NEDg | Description generation | batch_69f6f6e10f2481909b405169dd7e5cf9 |
completed | May 3, 2026, 7:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f73b301881909d792dfebd2e468f |
completed | May 3, 2026, 7:20 a.m. |
Created at: April 9, 2026, 9:16 p.m.