Triple
T4548763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Monument of Geneva |
E110109
|
entity |
| Predicate | sculptor |
P184
|
FINISHED |
| Object |
Robert Dorer
Robert Dorer was a sculptor best known for creating the National Monument of Geneva in Switzerland.
|
E460567
|
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: Robert Dorer | Statement: [National Monument of Geneva, sculptor, Robert Dorer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Dorer Context triple: [National Monument of Geneva, sculptor, Robert Dorer]
-
A.
Paul Seydor
Paul Seydor is a film editor and scholar best known for his work on Sam Peckinpah’s films and his writings on American cinema.
-
B.
Philip Bruns
Philip Bruns was an American character actor best known for his television and film roles in the 1970s and 1980s, including his work on the satirical soap opera "Mary Hartman, Mary Hartman."
-
C.
Arthur Seid
Arthur Seid is a film editor known for his work on the classic 1948 crime drama "Force of Evil."
-
D.
Anthony Kilhoffer
Anthony Kilhoffer is a Grammy-winning American record producer and audio engineer known for his extensive work with artists like Kanye West and other major hip-hop and pop acts.
-
E.
Dean Riesner
Dean Riesner was an American screenwriter best known for his work on films such as "Dirty Harry" and "Play Misty for Me."
- 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: Robert Dorer Triple: [National Monument of Geneva, sculptor, Robert Dorer]
Generated description
Robert Dorer was a sculptor best known for creating the National Monument of Geneva in Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Robert Dorer Target entity description: Robert Dorer was a sculptor best known for creating the National Monument of Geneva in Switzerland.
-
A.
Paul Seydor
Paul Seydor is a film editor and scholar best known for his work on Sam Peckinpah’s films and his writings on American cinema.
-
B.
Philip Bruns
Philip Bruns was an American character actor best known for his television and film roles in the 1970s and 1980s, including his work on the satirical soap opera "Mary Hartman, Mary Hartman."
-
C.
Arthur Seid
Arthur Seid is a film editor known for his work on the classic 1948 crime drama "Force of Evil."
-
D.
Anthony Kilhoffer
Anthony Kilhoffer is a Grammy-winning American record producer and audio engineer known for his extensive work with artists like Kanye West and other major hip-hop and pop acts.
-
E.
Dean Riesner
Dean Riesner was an American screenwriter best known for his work on films such as "Dirty Harry" and "Play Misty for Me."
- 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_69bd4412524c8190be5bcc9ddee91848 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57f272248190983ae439bd0ac0cc |
completed | March 20, 2026, 2:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03391b3481909fd41ac03abe5d1b |
completed | March 21, 2026, 2:32 a.m. |
| NEDg | Description generation | batch_69be0542daf08190b792855c8129ac50 |
completed | March 21, 2026, 2:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be05c1dcd48190a08a5748e86a5ac8 |
completed | March 21, 2026, 2:43 a.m. |
Created at: March 20, 2026, 1:05 p.m.