Triple
T14509166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Inventor: Out for Blood in Silicon Valley |
E340350
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Erin Edeiken
Erin Edeiken is a film and television producer best known for her work on the documentary series "The Inventor: Out for Blood in Silicon Valley."
|
E1298305
|
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: Erin Edeiken | Statement: [The Inventor: Out for Blood in Silicon Valley, producer, Erin Edeiken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erin Edeiken Context triple: [The Inventor: Out for Blood in Silicon Valley, producer, Erin Edeiken]
-
A.
Erin Westerman
Erin Westerman is a film producer known for her work on the romantic comedy "Always Be My Maybe" and other contemporary studio projects.
-
B.
Erin Daniels
Erin Daniels is an American actress best known for her role as Dana Fairbanks on the television drama series "The L Word."
-
C.
Erin Jontow
Erin Jontow is a television producer best known for her executive production work on the Netflix drama series "Maid."
-
D.
Erin Burkett
Erin Burkett is an American music industry executive and co-founder of the influential punk rock record label Fat Wreck Chords.
-
E.
Erin Richards
Erin Richards is a Welsh actress and director best known for her role as Barbara Kean in the television series "Gotham."
- 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: Erin Edeiken Triple: [The Inventor: Out for Blood in Silicon Valley, producer, Erin Edeiken]
Generated description
Erin Edeiken is a film and television producer best known for her work on the documentary series "The Inventor: Out for Blood in Silicon Valley."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Erin Edeiken Target entity description: Erin Edeiken is a film and television producer best known for her work on the documentary series "The Inventor: Out for Blood in Silicon Valley."
-
A.
Erin Westerman
Erin Westerman is a film producer known for her work on the romantic comedy "Always Be My Maybe" and other contemporary studio projects.
-
B.
Erin Daniels
Erin Daniels is an American actress best known for her role as Dana Fairbanks on the television drama series "The L Word."
-
C.
Erin Jontow
Erin Jontow is a television producer best known for her executive production work on the Netflix drama series "Maid."
-
D.
Erin Burkett
Erin Burkett is an American music industry executive and co-founder of the influential punk rock record label Fat Wreck Chords.
-
E.
Erin Richards
Erin Richards is a Welsh actress and director best known for her role as Barbara Kean in the television series "Gotham."
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e5b7b48190878be271840c265b |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0328fa616c8190a682e7516e8ecbb9 |
completed | May 12, 2026, 1:19 p.m. |
| NEDg | Description generation | batch_6a032b2e82bc81909ae01849715745a8 |
completed | May 12, 2026, 1:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a032caa8c688190ac7a730bf855bde4 |
completed | May 12, 2026, 1:35 p.m. |
Created at: April 10, 2026, 1:21 a.m.