Triple
T3282013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Body Artist |
E68892
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Rey Robles
Rey Robles is a character in Don DeLillo’s novel *The Body Artist*, involved in the story’s exploration of identity, memory, and the uncanny.
|
E373583
|
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: Rey Robles | Statement: [The Body Artist, hasCharacter, Rey Robles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rey Robles Context triple: [The Body Artist, hasCharacter, Rey Robles]
-
A.
Pete Velasco
Pete Velasco was a Filipino American labor organizer and key United Farm Workers figure who helped lead the historic Delano grape strike in the 1960s.
-
B.
Frank Dominguez
Frank Dominguez is an entrepreneur best known as a founder of the cloud-based software company Salesforce.
-
C.
Rafael Pineda
Rafael Pineda is a songwriter best known for co-writing Beyoncé’s hit track “Cuff It.”
-
D.
Ronald Cerritos
Ronald Cerritos is a retired Salvadoran forward best known for his prolific goal-scoring and playmaking in Major League Soccer, particularly with the San Jose Earthquakes.
-
E.
Christian Contreras
Christian Contreras is an American actor and writer known for his work in film and television and for being married to English actress Jodie Whittaker.
- 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: Rey Robles Triple: [The Body Artist, hasCharacter, Rey Robles]
Generated description
Rey Robles is a character in Don DeLillo’s novel *The Body Artist*, involved in the story’s exploration of identity, memory, and the uncanny.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rey Robles Target entity description: Rey Robles is a character in Don DeLillo’s novel *The Body Artist*, involved in the story’s exploration of identity, memory, and the uncanny.
-
A.
Pete Velasco
Pete Velasco was a Filipino American labor organizer and key United Farm Workers figure who helped lead the historic Delano grape strike in the 1960s.
-
B.
Frank Dominguez
Frank Dominguez is an entrepreneur best known as a founder of the cloud-based software company Salesforce.
-
C.
Rafael Pineda
Rafael Pineda is a songwriter best known for co-writing Beyoncé’s hit track “Cuff It.”
-
D.
Ronald Cerritos
Ronald Cerritos is a retired Salvadoran forward best known for his prolific goal-scoring and playmaking in Major League Soccer, particularly with the San Jose Earthquakes.
-
E.
Christian Contreras
Christian Contreras is an American actor and writer known for his work in film and television and for being married to English actress Jodie Whittaker.
- 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_69ad859c463481909ca4be267336c290 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0345d448190a1f936abe7748e33 |
completed | March 8, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b432ee11988190843e4b81500b65ca |
completed | March 13, 2026, 3:53 p.m. |
| NEDg | Description generation | batch_69b435bbe10c81908b767265371c1b53 |
completed | March 13, 2026, 4:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4396462548190ab0a17931c198bd7 |
completed | March 13, 2026, 4:20 p.m. |
Created at: March 8, 2026, 3:10 p.m.