Triple
T13288087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silent House |
E316492
|
entity |
| Predicate | EnglishTranslator |
P2303
|
FINISHED |
| Object |
Robert Finn
Robert Finn is a translator known for producing the English version of Orhan Pamuk’s novel "Silent House."
|
E1032995
|
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 Finn | Statement: [Silent House, EnglishTranslator, Robert Finn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Finn Context triple: [Silent House, EnglishTranslator, Robert Finn]
-
A.
Aaron David Johnson
Aaron David Johnson is an actor known for his role in the film "Detention."
-
B.
Orson Cox
Orson Cox is the son of Scottish actor and physicist-turned-science-communicator Brian Cox.
-
C.
William Jackson Harper
William Jackson Harper is an American actor best known for his role as Chidi Anagonye on the television series "The Good Place."
-
D.
Toby Huss
Toby Huss is an American actor and voice actor known for his character roles in film and television, including work on series like "King of the Hill" and "Halt and Catch Fire."
-
E.
Pablo Schreiber
Pablo Schreiber is a Canadian-American actor known for his intense character roles in film and television, including standout performances in series like "Orange Is the New Black" and "American Gods."
- 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 Finn Triple: [Silent House, EnglishTranslator, Robert Finn]
Generated description
Robert Finn is a translator known for producing the English version of Orhan Pamuk’s novel "Silent House."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Robert Finn Target entity description: Robert Finn is a translator known for producing the English version of Orhan Pamuk’s novel "Silent House."
-
A.
Aaron David Johnson
Aaron David Johnson is an actor known for his role in the film "Detention."
-
B.
Orson Cox
Orson Cox is the son of Scottish actor and physicist-turned-science-communicator Brian Cox.
-
C.
William Jackson Harper
William Jackson Harper is an American actor best known for his role as Chidi Anagonye on the television series "The Good Place."
-
D.
Toby Huss
Toby Huss is an American actor and voice actor known for his character roles in film and television, including work on series like "King of the Hill" and "Halt and Catch Fire."
-
E.
Pablo Schreiber
Pablo Schreiber is a Canadian-American actor known for his intense character roles in film and television, including standout performances in series like "Orange Is the New Black" and "American Gods."
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99076aeec8190b0cb883ab60d3f6b |
completed | April 11, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716d4a6f48190a2020e11e887be2e |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f717b7b6dc8190ab323c1926dd9adb |
completed | May 3, 2026, 9:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7186b6218819096c67e9dd9af609f |
completed | May 3, 2026, 9:42 a.m. |
Created at: April 9, 2026, 9:27 p.m.