Triple
T19455564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vampires (1998 film) |
E486723
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Thomas Rosales Jr.
Thomas Rosales Jr. is an American character actor and stuntman known for his numerous supporting roles and stunt work in action and genre films since the 1970s.
|
E1378202
|
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: Thomas Rosales Jr. | Statement: [Vampires (1998 film), castMember, Thomas Rosales Jr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Rosales Jr. Context triple: [Vampires (1998 film), castMember, Thomas Rosales Jr.]
-
A.
Rey Rosales
Rey Rosales is a fictional police detective on the soap opera "The Young and the Restless," known for his complex relationships and moral integrity.
-
B.
Cristóbal Rios
Cristóbal Rios is a former Starfleet officer turned roguish starship captain who serves as a key ally to Jean-Luc Picard in the series Star Trek: Picard.
-
C.
Roberto Morales
Roberto Morales is a film and television producer known for his work on the project "Vivir."
-
D.
Frank Dominguez
Frank Dominguez is an entrepreneur best known as a founder of the cloud-based software company Salesforce.
-
E.
Frank Dominguez
Frank Dominguez is a person whose specific public background or notable achievements are not clearly identifiable from the given information.
- 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: Thomas Rosales Jr. Triple: [Vampires (1998 film), castMember, Thomas Rosales Jr.]
Generated description
Thomas Rosales Jr. is an American character actor and stuntman known for his numerous supporting roles and stunt work in action and genre films since the 1970s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thomas Rosales Jr. Target entity description: Thomas Rosales Jr. is an American character actor and stuntman known for his numerous supporting roles and stunt work in action and genre films since the 1970s.
-
A.
Rey Rosales
Rey Rosales is a fictional police detective on the soap opera "The Young and the Restless," known for his complex relationships and moral integrity.
-
B.
Cristóbal Rios
Cristóbal Rios is a former Starfleet officer turned roguish starship captain who serves as a key ally to Jean-Luc Picard in the series Star Trek: Picard.
-
C.
Roberto Morales
Roberto Morales is a film and television producer known for his work on the project "Vivir."
-
D.
Frank Dominguez
Frank Dominguez is an entrepreneur best known as a founder of the cloud-based software company Salesforce.
-
E.
Frank Dominguez
Frank Dominguez is a person whose specific public background or notable achievements are not clearly identifiable from the given information.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633c2b1108190b492ca23487b91f8 |
completed | April 20, 2026, 2:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074049b9e88190a9ab6742d6ff3df7 |
completed | May 15, 2026, 3:48 p.m. |
| NEDg | Description generation | batch_6a0741651ba48190b8eb6336afbbc4af |
completed | May 15, 2026, 3:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0741e454a48190ac03aa458ca2b3b3 |
completed | May 15, 2026, 3:55 p.m. |
Created at: April 10, 2026, 1:38 p.m.