Triple
T2983117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Pierre Marielle |
E80557
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Marielle
Marielle is a French surname most notably borne by the acclaimed actor Jean-Pierre Marielle.
|
E317119
|
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: Marielle | Statement: [Jean-Pierre Marielle, familyName, Marielle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marielle Context triple: [Jean-Pierre Marielle, familyName, Marielle]
-
A.
Karla
Karla is the elusive Soviet spymaster and primary antagonist of John le Carré’s George Smiley novels, symbolizing the Cold War espionage rivalry between British intelligence and the KGB.
-
B.
Nakia
Nakia is a skilled Wakandan spy and warrior in the Marvel Cinematic Universe, known for her courage, compassion, and close ties to T’Challa and Wakanda.
-
C.
Shosanna Dreyfus
Shosanna Dreyfus is a vengeful French Jewish cinema owner in Quentin Tarantino’s film "Inglourious Basterds," known for orchestrating a plot to destroy high-ranking Nazis.
-
D.
Ilana
Ilana is a fictional character associated with the work titled "Dawn."
-
E.
Shoshanna Shapiro
Shoshanna Shapiro is a bubbly, fast-talking, and naive yet increasingly self-assured young woman featured as one of the core friends navigating adulthood in the TV series "Girls."
- 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: Marielle Triple: [Jean-Pierre Marielle, familyName, Marielle]
Generated description
Marielle is a French surname most notably borne by the acclaimed actor Jean-Pierre Marielle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marielle Target entity description: Marielle is a French surname most notably borne by the acclaimed actor Jean-Pierre Marielle.
-
A.
Karla
Karla is the elusive Soviet spymaster and primary antagonist of John le Carré’s George Smiley novels, symbolizing the Cold War espionage rivalry between British intelligence and the KGB.
-
B.
Nakia
Nakia is a skilled Wakandan spy and warrior in the Marvel Cinematic Universe, known for her courage, compassion, and close ties to T’Challa and Wakanda.
-
C.
Shosanna Dreyfus
Shosanna Dreyfus is a vengeful French Jewish cinema owner in Quentin Tarantino’s film "Inglourious Basterds," known for orchestrating a plot to destroy high-ranking Nazis.
-
D.
Ilana
Ilana is a fictional character associated with the work titled "Dawn."
-
E.
Shoshanna Shapiro
Shoshanna Shapiro is a bubbly, fast-talking, and naive yet increasingly self-assured young woman featured as one of the core friends navigating adulthood in the TV series "Girls."
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99a1ed44819085ae6d39943db1d9 |
completed | March 8, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108f5e5c88190b9dd0a67cb159854 |
completed | March 11, 2026, 6:17 a.m. |
| NEDg | Description generation | batch_69b10b3967ac81908390d684f2fb23b2 |
completed | March 11, 2026, 6:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b10f312ec88190b632639acbd024dc |
completed | March 11, 2026, 6:44 a.m. |
Created at: March 8, 2026, 2:58 p.m.