Triple
T10997249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olga Kurylenko |
E259906
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Momentum
Momentum is a 2015 action thriller film starring Olga Kurylenko as a skilled thief caught in a deadly conspiracy.
|
E898799
|
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: Momentum | Statement: [Olga Kurylenko, notableWork, Momentum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Momentum Context triple: [Olga Kurylenko, notableWork, Momentum]
-
A.
Momentum
Momentum is a jazz-pop studio album by British singer-songwriter and pianist Jamie Cullum, showcasing his blend of jazz, pop, and singer-songwriter influences.
-
B.
Momentum
Momentum is a contemporary classical composition by British composer Mark-Anthony Turnage, known for its energetic style and fusion of modern orchestral writing with jazz-influenced elements.
-
C.
Momentum
"Momentum" is a reflective alternative rock song by singer-songwriter Aimee Mann, known for its appearance on the soundtrack of the film "Magnolia."
-
D.
Inertia
Inertia is a Canadian drama film that explores themes of emotional disconnection and stalled relationships.
-
E.
Nomentum
Nomentum was an ancient town in Latium, northeast of Rome, known as a minor but historically significant settlement along important Roman roads.
- 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: Momentum Triple: [Olga Kurylenko, notableWork, Momentum]
Generated description
Momentum is a 2015 action thriller film starring Olga Kurylenko as a skilled thief caught in a deadly conspiracy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Momentum Target entity description: Momentum is a 2015 action thriller film starring Olga Kurylenko as a skilled thief caught in a deadly conspiracy.
-
A.
Momentum
Momentum is a jazz-pop studio album by British singer-songwriter and pianist Jamie Cullum, showcasing his blend of jazz, pop, and singer-songwriter influences.
-
B.
Momentum
Momentum is a contemporary classical composition by British composer Mark-Anthony Turnage, known for its energetic style and fusion of modern orchestral writing with jazz-influenced elements.
-
C.
Momentum
"Momentum" is a reflective alternative rock song by singer-songwriter Aimee Mann, known for its appearance on the soundtrack of the film "Magnolia."
-
D.
Inertia
Inertia is a Canadian drama film that explores themes of emotional disconnection and stalled relationships.
-
E.
Nomentum
Nomentum was an ancient town in Latium, northeast of Rome, known as a minor but historically significant settlement along important Roman roads.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d796d20b448190958331705de3a9be |
completed | April 9, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3452420c08190b9c91a9c8a807670 |
completed | April 18, 2026, 8:47 a.m. |
| NEDg | Description generation | batch_69e3556fd3548190a33f04604be947cf |
completed | April 18, 2026, 9:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e359508a388190a16d48a17015e13e |
completed | April 18, 2026, 10:13 a.m. |
Created at: April 8, 2026, 9:24 p.m.