Triple
T17743979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Outsiders |
E442935
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Peter Mattei
Peter Mattei is a television writer and producer best known for creating the crime drama series "Outsiders."
|
E1285910
|
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: Peter Mattei | Statement: [Outsiders, creator, Peter Mattei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Mattei Context triple: [Outsiders, creator, Peter Mattei]
-
A.
Max Pilger
Max Pilger is a relatively obscure individual sharing the Pilger surname, with limited publicly available biographical or professional information.
-
B.
Roberto Benabib
Roberto Benabib is a television writer and producer best known for his work on the dark comedy series "Weeds."
-
C.
Giovanni Jona-Lasinio
Giovanni Jona-Lasinio is an Italian theoretical physicist renowned for co-developing the Nambu–Jona-Lasinio model, a foundational framework in quantum field theory and particle physics.
-
D.
Peter Weill
Peter Weill is an Australian-born academic and author best known for his influential work on IT governance and digital business strategy, particularly at the MIT Sloan School of Management.
-
E.
Paul Pape
Paul Pape is an American actor best known for his role in the classic 1977 film "Saturday Night Fever."
- 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: Peter Mattei Triple: [Outsiders, creator, Peter Mattei]
Generated description
Peter Mattei is a television writer and producer best known for creating the crime drama series "Outsiders."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Mattei Target entity description: Peter Mattei is a television writer and producer best known for creating the crime drama series "Outsiders."
-
A.
Max Pilger
Max Pilger is a relatively obscure individual sharing the Pilger surname, with limited publicly available biographical or professional information.
-
B.
Roberto Benabib
Roberto Benabib is a television writer and producer best known for his work on the dark comedy series "Weeds."
-
C.
Giovanni Jona-Lasinio
Giovanni Jona-Lasinio is an Italian theoretical physicist renowned for co-developing the Nambu–Jona-Lasinio model, a foundational framework in quantum field theory and particle physics.
-
D.
Peter Weill
Peter Weill is an Australian-born academic and author best known for his influential work on IT governance and digital business strategy, particularly at the MIT Sloan School of Management.
-
E.
Paul Pape
Paul Pape is an American actor best known for his role in the classic 1977 film "Saturday Night Fever."
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47acf44f8819089a18193e37d112c |
completed | April 19, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0242ff08408190a1bdd1434a55b7af |
completed | May 11, 2026, 8:58 p.m. |
| NEDg | Description generation | batch_6a024810afec8190bfe11b35bb1853ac |
completed | May 11, 2026, 9:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0248e4d7548190b23a70068868b2f9 |
completed | May 11, 2026, 9:23 p.m. |
Created at: April 10, 2026, 10:09 a.m.