Triple
T3213222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America America |
E67329
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Elena Karam
Elena Karam is an actress known for her role in Elia Kazan’s 1963 drama film "America America."
|
E370718
|
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: Elena Karam | Statement: [America America, castMember, Elena Karam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elena Karam Context triple: [America America, castMember, Elena Karam]
-
A.
Irina Karamanos
Irina Karamanos is a Chilean political scientist, feminist activist, and cultural manager who became widely known as the partner of President Gabriel Boric and for redefining the traditional role of Chile’s First Lady.
-
B.
Elena Milashina
Elena Milashina is a prominent Russian investigative journalist known for her reporting on human rights abuses, particularly in Chechnya, for the independent newspaper Novaya Gazeta.
-
C.
Irina Korina
Irina Korina is the mother of late Russian-American actor Anton Yelchin.
-
D.
Katerina Tikhonova
Katerina Tikhonova is a Russian academic and business executive widely reported to be one of Vladimir Putin’s daughters, known for her roles in scientific institutions and high-tech investment projects.
-
E.
Alexandra Yatsko
Alexandra Yatsko is a film producer known for her work on the documentary "Love, Antosha."
- 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: Elena Karam Triple: [America America, castMember, Elena Karam]
Generated description
Elena Karam is an actress known for her role in Elia Kazan’s 1963 drama film "America America."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elena Karam Target entity description: Elena Karam is an actress known for her role in Elia Kazan’s 1963 drama film "America America."
-
A.
Irina Karamanos
Irina Karamanos is a Chilean political scientist, feminist activist, and cultural manager who became widely known as the partner of President Gabriel Boric and for redefining the traditional role of Chile’s First Lady.
-
B.
Elena Milashina
Elena Milashina is a prominent Russian investigative journalist known for her reporting on human rights abuses, particularly in Chechnya, for the independent newspaper Novaya Gazeta.
-
C.
Irina Korina
Irina Korina is the mother of late Russian-American actor Anton Yelchin.
-
D.
Katerina Tikhonova
Katerina Tikhonova is a Russian academic and business executive widely reported to be one of Vladimir Putin’s daughters, known for her roles in scientific institutions and high-tech investment projects.
-
E.
Alexandra Yatsko
Alexandra Yatsko is a film producer known for her work on the documentary "Love, Antosha."
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaabba8e481909118d9f888ddcd63 |
completed | March 8, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b402bcf7ec8190a7f0b7c0cc45e2f8 |
completed | March 13, 2026, 12:27 p.m. |
| NEDg | Description generation | batch_69b403c9f6788190be21ee4c849fba60 |
completed | March 13, 2026, 12:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4086ab034819086c5fa7d4b172d75 |
completed | March 13, 2026, 12:51 p.m. |
Created at: March 8, 2026, 3:07 p.m.