Triple
T8941156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franka Potente |
E212902
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Franka
Franka is a German actress and singer best known internationally for her starring role in the film "Run Lola Run."
|
E768575
|
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: Franka | Statement: [Franka Potente, givenName, Franka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Franka Context triple: [Franka Potente, givenName, Franka]
-
A.
Nadia humanoid robot
Nadia is a state-of-the-art humanoid robot platform designed for advanced research in robotics, locomotion, and human-robot interaction.
-
B.
Ameca
Ameca is a city in the Mexican state of Jalisco known as an agricultural and commercial center in the Ameca Valley region.
-
C.
Dextre
Dextre is a two-armed robotic handyman on the International Space Station designed to perform delicate maintenance tasks and reduce the need for spacewalks.
-
D.
Atlas humanoid robot
The Atlas humanoid robot is a highly advanced, bipedal research platform developed by Boston Dynamics for exploring agile, human-like mobility and manipulation in complex environments.
-
E.
Probot
Probot is a heavy metal side project led by Dave Grohl that features collaborations with various prominent metal vocalists.
- 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: Franka Triple: [Franka Potente, givenName, Franka]
Generated description
Franka is a German actress and singer best known internationally for her starring role in the film "Run Lola Run."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Franka Target entity description: Franka is a German actress and singer best known internationally for her starring role in the film "Run Lola Run."
-
A.
Nadia humanoid robot
Nadia is a state-of-the-art humanoid robot platform designed for advanced research in robotics, locomotion, and human-robot interaction.
-
B.
Ameca
Ameca is a city in the Mexican state of Jalisco known as an agricultural and commercial center in the Ameca Valley region.
-
C.
Dextre
Dextre is a two-armed robotic handyman on the International Space Station designed to perform delicate maintenance tasks and reduce the need for spacewalks.
-
D.
Atlas humanoid robot
The Atlas humanoid robot is a highly advanced, bipedal research platform developed by Boston Dynamics for exploring agile, human-like mobility and manipulation in complex environments.
-
E.
Probot
Probot is a heavy metal side project led by Dave Grohl that features collaborations with various prominent metal vocalists.
- 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_69ca839694c88190b324ffeb43d23b08 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66b9c14c8190b80c3df0cdba2747 |
completed | April 1, 2026, 12:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1efdea881908b2c264d1c39c6ec |
completed | April 3, 2026, 1:34 p.m. |
| NEDg | Description generation | batch_69cfc2d295c48190952486e6f44cd74f |
completed | April 3, 2026, 1:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfc722921881908978147e4cc6875c |
completed | April 3, 2026, 1:56 p.m. |
Created at: March 30, 2026, 6:58 p.m.