Triple
T11871546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Girls |
E282417
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object |
Taina Elg
Taina Elg is a Finnish-American actress and dancer best known for her work in mid-20th-century Hollywood musicals and on Broadway.
|
E951157
|
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: Taina Elg | Statement: [Les Girls, starredActor, Taina Elg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taina Elg Context triple: [Les Girls, starredActor, Taina Elg]
-
A.
Maya Hansen
Maya Hansen is a brilliant botanist and geneticist in the Marvel Cinematic Universe whose Extremis research plays a pivotal role in the events of Iron Man 3.
-
B.
Elin Calvin
Elin Calvin is a child of Nobel Prize–winning biochemist Melvin Calvin, noted for his work on the Calvin cycle in photosynthesis.
-
C.
Thea Holme
Thea Holme was a British actress and writer best known for her historical biographies and works on English domestic life.
-
D.
Tania Nell
Tania Nell is a British woman best known as the wife of Olympic distance-running champion Sir Mo Farah.
-
E.
Elsa Korr
Elsa Korr is a Jewish teenage girl hiding in Nazi Germany in the satirical film "Jojo Rabbit," whose relationship with the young protagonist challenges his indoctrinated beliefs.
- 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: Taina Elg Triple: [Les Girls, starredActor, Taina Elg]
Generated description
Taina Elg is a Finnish-American actress and dancer best known for her work in mid-20th-century Hollywood musicals and on Broadway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Taina Elg Target entity description: Taina Elg is a Finnish-American actress and dancer best known for her work in mid-20th-century Hollywood musicals and on Broadway.
-
A.
Maya Hansen
Maya Hansen is a brilliant botanist and geneticist in the Marvel Cinematic Universe whose Extremis research plays a pivotal role in the events of Iron Man 3.
-
B.
Elin Calvin
Elin Calvin is a child of Nobel Prize–winning biochemist Melvin Calvin, noted for his work on the Calvin cycle in photosynthesis.
-
C.
Thea Holme
Thea Holme was a British actress and writer best known for her historical biographies and works on English domestic life.
-
D.
Tania Nell
Tania Nell is a British woman best known as the wife of Olympic distance-running champion Sir Mo Farah.
-
E.
Elsa Korr
Elsa Korr is a Jewish teenage girl hiding in Nazi Germany in the satirical film "Jojo Rabbit," whose relationship with the young protagonist challenges his indoctrinated beliefs.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8be18b7d48190b7fb1c3a67a891ed |
completed | April 10, 2026, 9:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f281b0969c8190a8c0a01ca292cc84 |
completed | April 29, 2026, 10:09 p.m. |
| NEDg | Description generation | batch_69f28a92ac90819092eef473a49d329e |
completed | April 29, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f28c462d888190a43e042b00921dbe |
completed | April 29, 2026, 10:55 p.m. |
Created at: April 8, 2026, 9:43 p.m.