Triple
T4441092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twins |
E95771
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Chloe Webb
Chloe Webb is an American actress best known for her roles in films like "Sid and Nancy" and "Twins" and for her work in both television and independent cinema.
|
E443416
|
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: Chloe Webb | Statement: [Twins, starring, Chloe Webb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chloe Webb Context triple: [Twins, starring, Chloe Webb]
-
A.
Chloe Frazer
Chloe Frazer is a witty, resourceful treasure hunter and thief in the Uncharted franchise, known for her sharp tongue, moral ambiguity, and complex relationship with protagonist Nathan Drake.
-
B.
Chloe Lattanzi
Chloe Lattanzi is an American-Australian singer and actress best known as the daughter of entertainer Olivia Newton-John and for her work in music and reality television.
-
C.
Lucy-Jo Hudson
Lucy-Jo Hudson is an English actress known for her roles in British television dramas and soap operas.
-
D.
Chloe Malle
Chloe Malle is an American writer and Vogue contributing editor known for her work in fashion and culture journalism.
-
E.
Chloe Wojin
Chloe Wojin is the daughter of Google co-founder Sergey Brin and biotech entrepreneur Anne Wojcicki.
- 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: Chloe Webb Triple: [Twins, starring, Chloe Webb]
Generated description
Chloe Webb is an American actress best known for her roles in films like "Sid and Nancy" and "Twins" and for her work in both television and independent cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chloe Webb Target entity description: Chloe Webb is an American actress best known for her roles in films like "Sid and Nancy" and "Twins" and for her work in both television and independent cinema.
-
A.
Chloe Frazer
Chloe Frazer is a witty, resourceful treasure hunter and thief in the Uncharted franchise, known for her sharp tongue, moral ambiguity, and complex relationship with protagonist Nathan Drake.
-
B.
Chloe Lattanzi
Chloe Lattanzi is an American-Australian singer and actress best known as the daughter of entertainer Olivia Newton-John and for her work in music and reality television.
-
C.
Lucy-Jo Hudson
Lucy-Jo Hudson is an English actress known for her roles in British television dramas and soap operas.
-
D.
Chloe Malle
Chloe Malle is an American writer and Vogue contributing editor known for her work in fashion and culture journalism.
-
E.
Chloe Wojin
Chloe Wojin is the daughter of Google co-founder Sergey Brin and biotech entrepreneur Anne Wojcicki.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355ad71588190b1dcad4250472c29 |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6375d0d8c819095a27cdc84af9faf |
completed | March 15, 2026, 4:36 a.m. |
| NEDg | Description generation | batch_69b63823c30c8190af727acae00da9d3 |
completed | March 15, 2026, 4:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b638a398f88190bd0f041e9494aeba |
completed | March 15, 2026, 4:42 a.m. |
Created at: March 12, 2026, 11:32 p.m.