Triple
T21448025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuntman Mike |
E529127
|
entity |
| Predicate | enemyOf |
P437
|
FINISHED |
| Object |
Arlene
Arlene is a character from Quentin Tarantino’s film "Death Proof," one of the women targeted by the psychopathic stunt driver Stuntman Mike.
|
E1485510
|
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: Arlene | Statement: [Stuntman Mike, enemyOf, Arlene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arlene Context triple: [Stuntman Mike, enemyOf, Arlene]
-
A.
Arlene
Arlene is a feminine given name of English origin that has been borne by various notable figures in arts, entertainment, and public life.
-
B.
Arlene Violet
Arlene Violet is an American lawyer and former Rhode Island Attorney General, recognized as the first woman elected to that office in the United States.
-
C.
Arlene Miles
Arlene Miles was the first wife of American jazz singer and songwriter Mel Tormé.
-
D.
Arlene Warren
Arlene Warren is an American actress and makeup artist best known for her work on The X-Files and for being married to actor Mitch Pileggi.
-
E.
Arnella
Arnella is a feminine given name, notably borne by Arnella Flynn, the daughter of actor Errol Flynn.
- 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: Arlene Triple: [Stuntman Mike, enemyOf, Arlene]
Generated description
Arlene is a character from Quentin Tarantino’s film "Death Proof," one of the women targeted by the psychopathic stunt driver Stuntman Mike.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arlene Target entity description: Arlene is a character from Quentin Tarantino’s film "Death Proof," one of the women targeted by the psychopathic stunt driver Stuntman Mike.
-
A.
Arlene
Arlene is a feminine given name of English origin that has been borne by various notable figures in arts, entertainment, and public life.
-
B.
Arlene Violet
Arlene Violet is an American lawyer and former Rhode Island Attorney General, recognized as the first woman elected to that office in the United States.
-
C.
Arlene Miles
Arlene Miles was the first wife of American jazz singer and songwriter Mel Tormé.
-
D.
Arlene Warren
Arlene Warren is an American actress and makeup artist best known for her work on The X-Files and for being married to actor Mitch Pileggi.
-
E.
Arnella
Arnella is a feminine given name, notably borne by Arnella Flynn, the daughter of actor Errol Flynn.
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d04548819086594c20faa5217d |
completed | April 23, 2026, 9:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c907cb9c8190b4a50551b274a915 |
completed | May 17, 2026, 1:56 p.m. |
| NEDg | Description generation | batch_6a09ca21f52481909aa6033dbe4c5985 |
completed | May 17, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09cb9587a88190b0e1c0d25d3733da |
completed | May 17, 2026, 2:07 p.m. |
Created at: April 16, 2026, 6:06 p.m.