Triple
T3993131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vicious |
E87037
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Marcia Warren
Marcia Warren is an English actress known for her extensive work in television, film, and theatre, often in comedic and character roles.
|
E619430
|
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: Marcia Warren | Statement: [Vicious, portrayedBy, Marcia Warren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marcia Warren Context triple: [Vicious, portrayedBy, Marcia Warren]
-
A.
Marcia Harvey
Marcia Harvey is an American author and the first wife of comedian and television host Steve Harvey, known for her poetry and writings on life, faith, and relationships.
-
B.
Marcia Rieke
Marcia Rieke is an American astronomer renowned for her leadership in infrared instrumentation and her key role in developing the James Webb Space Telescope.
-
C.
Marcia Manon
Marcia Manon was a silent film actress active in the 1910s and 1920s, known for her supporting roles in American dramas and melodramas.
-
D.
Marcia Reale
Marcia Reale was the royal anthem of the Kingdom of Italy, closely associated with the Italian monarchy and official state ceremonies before the republic was established.
-
E.
Diane Lucas
Diane Lucas is a fictional character appearing in the Doctor Who serial "The Silence."
- 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: Marcia Warren Triple: [Vicious, portrayedBy, Marcia Warren]
Generated description
Marcia Warren is an English actress known for her extensive work in television, film, and theatre, often in comedic and character roles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marcia Warren Target entity description: Marcia Warren is an English actress known for her extensive work in television, film, and theatre, often in comedic and character roles.
-
A.
Marcia Harvey
Marcia Harvey is an American author and the first wife of comedian and television host Steve Harvey, known for her poetry and writings on life, faith, and relationships.
-
B.
Marcia Rieke
Marcia Rieke is an American astronomer renowned for her leadership in infrared instrumentation and her key role in developing the James Webb Space Telescope.
-
C.
Marcia Manon
Marcia Manon was a silent film actress active in the 1910s and 1920s, known for her supporting roles in American dramas and melodramas.
-
D.
Marcia Reale
Marcia Reale was the royal anthem of the Kingdom of Italy, closely associated with the Italian monarchy and official state ceremonies before the republic was established.
-
E.
Diane Lucas
Diane Lucas is a fictional character appearing in the Doctor Who serial "The Silence."
- 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_69aed94118148190975e6aa4e554cde9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa1d9d8c8190982d092a73d38564 |
completed | March 9, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a548f8081909e347a1c7cd4e9fc |
completed | March 28, 2026, 12:01 a.m. |
| NEDg | Description generation | batch_69c71afc2e9081909bd633d353a2c487 |
completed | March 28, 2026, 12:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c71b5b9b64819089aae86b0b52665c |
completed | March 28, 2026, 12:05 a.m. |
Created at: March 9, 2026, 3:33 p.m.