Triple
T5143293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Connor |
E116010
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
John DeVito
John DeVito is an actor known for playing the character John Connor in a production related to the Terminator franchise.
|
E498089
|
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: John DeVito | Statement: [John Connor, portrayedBy, John DeVito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John DeVito Context triple: [John Connor, portrayedBy, John DeVito]
-
A.
Anthony Perrotti
Anthony Perrotti is a former Rutgers University wrestler best known for becoming the program’s first NCAA All-American in over a decade and helping elevate the Scarlet Knights wrestling program to national prominence.
-
B.
Frank Yaconelli
Frank Yaconelli was an Italian-American character actor and musician known for his comic supporting roles in numerous Hollywood films from the 1930s and 1940s.
-
C.
Anthony T. Rossi
Anthony T. Rossi was an Italian-American entrepreneur best known as the founder of Tropicana, a major juice and beverage company.
-
D.
Don Ierullo
Don Ierullo is a media entrepreneur best known for founding the global entertainment company Entertainment One.
-
E.
Robert DiNozzi
Robert DiNozzi is a film producer best known for his work on the thriller movie "Flightplan."
- 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: John DeVito Triple: [John Connor, portrayedBy, John DeVito]
Generated description
John DeVito is an actor known for playing the character John Connor in a production related to the Terminator franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John DeVito Target entity description: John DeVito is an actor known for playing the character John Connor in a production related to the Terminator franchise.
-
A.
Anthony Perrotti
Anthony Perrotti is a former Rutgers University wrestler best known for becoming the program’s first NCAA All-American in over a decade and helping elevate the Scarlet Knights wrestling program to national prominence.
-
B.
Frank Yaconelli
Frank Yaconelli was an Italian-American character actor and musician known for his comic supporting roles in numerous Hollywood films from the 1930s and 1940s.
-
C.
Anthony T. Rossi
Anthony T. Rossi was an Italian-American entrepreneur best known as the founder of Tropicana, a major juice and beverage company.
-
D.
Don Ierullo
Don Ierullo is a media entrepreneur best known for founding the global entertainment company Entertainment One.
-
E.
Robert DiNozzi
Robert DiNozzi is a film producer best known for his work on the thriller movie "Flightplan."
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7883004881909c763da818d9b6e2 |
completed | March 20, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becfec5c108190a3882c25118179a7 |
completed | March 21, 2026, 5:05 p.m. |
| NEDg | Description generation | batch_69bed07c9cd081908f8246e24b2f6458 |
completed | March 21, 2026, 5:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bed1013fe88190b76855a042226359 |
completed | March 21, 2026, 5:10 p.m. |
Created at: March 20, 2026, 1:43 p.m.