Triple
T2332125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avengers: Endgame |
E44224
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Pom Klementieff
Pom Klementieff is a French actress best known for playing Mantis in the Marvel Cinematic Universe films.
|
E256909
|
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: Pom Klementieff | Statement: [Avengers: Endgame, stars, Pom Klementieff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pom Klementieff Context triple: [Avengers: Endgame, stars, Pom Klementieff]
-
A.
Svetlana Khodchenkova
Svetlana Khodchenkova is a Russian film and television actress known internationally for roles in movies such as "Tinker Tailor Soldier Spy" and "The Wolverine."
-
B.
Lara Lea Yunaska
Lara Lea Yunaska is an American television producer and political figure best known as Lara Trump, the wife of Eric Trump and a prominent surrogate and adviser in Donald Trump’s political campaigns.
-
C.
Alexis Pantchoulidzew
Alexis Pantchoulidzew was a Georgian-born nobleman and émigré officer who became the second husband of Armgard von Cramm, the mother of Prince Bernhard of Lippe-Biesterfeld (later Prince Consort of the Netherlands).
-
D.
Xenia Chizh
Xenia Chizh is known primarily as the spouse of Anton Denikin.
-
E.
Christine Karim
Christine Karim is the mother of YouTube co-founder Jawed Karim.
- 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: Pom Klementieff Triple: [Avengers: Endgame, stars, Pom Klementieff]
Generated description
Pom Klementieff is a French actress best known for playing Mantis in the Marvel Cinematic Universe films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pom Klementieff Target entity description: Pom Klementieff is a French actress best known for playing Mantis in the Marvel Cinematic Universe films.
-
A.
Svetlana Khodchenkova
Svetlana Khodchenkova is a Russian film and television actress known internationally for roles in movies such as "Tinker Tailor Soldier Spy" and "The Wolverine."
-
B.
Lara Lea Yunaska
Lara Lea Yunaska is an American television producer and political figure best known as Lara Trump, the wife of Eric Trump and a prominent surrogate and adviser in Donald Trump’s political campaigns.
-
C.
Alexis Pantchoulidzew
Alexis Pantchoulidzew was a Georgian-born nobleman and émigré officer who became the second husband of Armgard von Cramm, the mother of Prince Bernhard of Lippe-Biesterfeld (later Prince Consort of the Netherlands).
-
D.
Xenia Chizh
Xenia Chizh is known primarily as the spouse of Anton Denikin.
-
E.
Christine Karim
Christine Karim is the mother of YouTube co-founder Jawed Karim.
- 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_69a889132b488190bbb43ad4780ddd92 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc66bd0f08190aad5f640cfa1c372 |
completed | March 7, 2026, 6:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae89773c88819087a294d7c0f90f73 |
completed | March 9, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_69ae8ae2ab7481909d265e56369f68e2 |
completed | March 9, 2026, 8:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae8b6c553481908b2b7b1f880b814d |
completed | March 9, 2026, 8:57 a.m. |
Created at: March 4, 2026, 7:51 p.m.