Triple
T9995443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joel Kinnaman |
E197190
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Bitte Kinnaman
Bitte Kinnaman is the mother of Swedish-American actor Joel Kinnaman.
|
E834526
|
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: Bitte Kinnaman | Statement: [Joel Kinnaman, mother, Bitte Kinnaman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bitte Kinnaman Context triple: [Joel Kinnaman, mother, Bitte Kinnaman]
-
A.
Drupatee Ramgoonai
Drupatee Ramgoonai is a Trinidadian singer widely recognized as a pioneering female artist in chutney and chutney soca music.
-
B.
King Shaw
King Shaw is a character from the classic Hollywood musical film "Broadway Melody of 1940," set in the world of song-and-dance entertainment.
-
C.
Meenas
The Meenas are an indigenous tribal community of northern India, historically associated with agrarian livelihoods, local chieftaincies, and a distinct cultural and religious heritage.
-
D.
Nandha
Nandha is a 2001 Tamil-language drama film directed by Bala, widely recognized for Suriya’s breakthrough performance in a gritty, emotionally intense role.
-
E.
Singam
Singam is a popular Indian Tamil-language action film featuring Suriya as a fearless and principled police officer battling crime and corruption.
- 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: Bitte Kinnaman Triple: [Joel Kinnaman, mother, Bitte Kinnaman]
Generated description
Bitte Kinnaman is the mother of Swedish-American actor Joel Kinnaman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bitte Kinnaman Target entity description: Bitte Kinnaman is the mother of Swedish-American actor Joel Kinnaman.
-
A.
Drupatee Ramgoonai
Drupatee Ramgoonai is a Trinidadian singer widely recognized as a pioneering female artist in chutney and chutney soca music.
-
B.
King Shaw
King Shaw is a character from the classic Hollywood musical film "Broadway Melody of 1940," set in the world of song-and-dance entertainment.
-
C.
Meenas
The Meenas are an indigenous tribal community of northern India, historically associated with agrarian livelihoods, local chieftaincies, and a distinct cultural and religious heritage.
-
D.
Nandha
Nandha is a 2001 Tamil-language drama film directed by Bala, widely recognized for Suriya’s breakthrough performance in a gritty, emotionally intense role.
-
E.
Singam
Singam is a popular Indian Tamil-language action film featuring Suriya as a fearless and principled police officer battling crime and corruption.
- 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_69ca82f3b61c81908ecc2c1c96dbc2e4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcb99ac74819091f20816478ea375 |
completed | April 2, 2026, 1:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d258336ab8819098d4878b8c106d86 |
completed | April 5, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_69d259cb8c4c8190b9169745751855ca |
completed | April 5, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d25a30ad98819084dcd305e709c34d |
completed | April 5, 2026, 12:48 p.m. |
Created at: March 30, 2026, 8:50 p.m.