Triple
T3622885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irene |
E76766
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Irene Cara
Irene Cara was an American singer, songwriter, and actress best known for her performances and hit songs in the films "Fame" and "Flashdance."
|
E373733
|
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: Irene Cara | Statement: [Irene, hasNotableBearer, Irene Cara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irene Cara Context triple: [Irene, hasNotableBearer, Irene Cara]
-
A.
Kim Weston
Kim Weston is an American soul and R&B singer best known for her 1960s Motown recordings and duets with Marvin Gaye.
-
B.
Sheena Easton
Sheena Easton is a Scottish pop singer and actress who rose to fame in the 1980s with hits like "Morning Train (Nine to Five)" and "For Your Eyes Only."
-
C.
Samantha Fox
Samantha Fox is an English pop singer, glamour model, and former Page 3 star who rose to fame in the 1980s with hits like "Touch Me (I Want Your Body)."
-
D.
Sela Ward
Sela Ward is an American actress known for her Emmy-winning performances in television dramas such as "Sisters" and "Once and Again."
-
E.
Alice Krige
Alice Krige is a South African actress best known for her roles in films such as "Chariots of Fire" and as the Borg Queen in the "Star Trek" franchise.
- 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: Irene Cara Triple: [Irene, hasNotableBearer, Irene Cara]
Generated description
Irene Cara was an American singer, songwriter, and actress best known for her performances and hit songs in the films "Fame" and "Flashdance."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Irene Cara Target entity description: Irene Cara was an American singer, songwriter, and actress best known for her performances and hit songs in the films "Fame" and "Flashdance."
-
A.
Kim Weston
Kim Weston is an American soul and R&B singer best known for her 1960s Motown recordings and duets with Marvin Gaye.
-
B.
Sheena Easton
Sheena Easton is a Scottish pop singer and actress who rose to fame in the 1980s with hits like "Morning Train (Nine to Five)" and "For Your Eyes Only."
-
C.
Samantha Fox
Samantha Fox is an English pop singer, glamour model, and former Page 3 star who rose to fame in the 1980s with hits like "Touch Me (I Want Your Body)."
-
D.
Sela Ward
Sela Ward is an American actress known for her Emmy-winning performances in television dramas such as "Sisters" and "Once and Again."
-
E.
Alice Krige
Alice Krige is a South African actress best known for her roles in films such as "Chariots of Fire" and as the Borg Queen in the "Star Trek" franchise.
- 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_69ad85dae2fc81908d1ceadbc6af0089 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2bc79008190abe6900adcbda8de |
completed | March 8, 2026, 6:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b43320955c8190910c0f15c80f41f4 |
completed | March 13, 2026, 3:54 p.m. |
| NEDg | Description generation | batch_69b43705642881909c62b7363a4f3a12 |
completed | March 13, 2026, 4:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4379cd04c81909246747bcc357261 |
completed | March 13, 2026, 4:13 p.m. |
Created at: March 8, 2026, 3:23 p.m.