Triple
T22469649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Pevney |
E555460
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Pevney
Pevney is the surname of Joseph Pevney, an American actor and film and television director known for his work in mid-20th-century Hollywood and on series like Star Trek.
|
E1539301
|
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: Pevney | Statement: [Joseph Pevney, familyName, Pevney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pevney Context triple: [Joseph Pevney, familyName, Pevney]
-
A.
Paveskovich
Paveskovich is a Slavic-origin surname associated with individuals such as John Michael Paveskovich.
-
B.
Poulson
Poulson is the codename for a later-generation Intel Itanium processor microarchitecture designed to improve performance and efficiency in enterprise and mission-critical servers.
-
C.
Kevan
Kevan is a given name, typically a variant spelling of Kevin used as a masculine first name.
-
D.
Noveskey
Noveskey is a surname most notably associated with American musician and producer Matt Noveskey.
-
E.
Povljana
Povljana is a coastal municipality and tourist settlement on the island of Pag in Croatia, known for its beaches and Mediterranean landscape.
- 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: Pevney Triple: [Joseph Pevney, familyName, Pevney]
Generated description
Pevney is the surname of Joseph Pevney, an American actor and film and television director known for his work in mid-20th-century Hollywood and on series like Star Trek.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pevney Target entity description: Pevney is the surname of Joseph Pevney, an American actor and film and television director known for his work in mid-20th-century Hollywood and on series like Star Trek.
-
A.
Paveskovich
Paveskovich is a Slavic-origin surname associated with individuals such as John Michael Paveskovich.
-
B.
Poulson
Poulson is the codename for a later-generation Intel Itanium processor microarchitecture designed to improve performance and efficiency in enterprise and mission-critical servers.
-
C.
Kevan
Kevan is a given name, typically a variant spelling of Kevin used as a masculine first name.
-
D.
Noveskey
Noveskey is a surname most notably associated with American musician and producer Matt Noveskey.
-
E.
Povljana
Povljana is a coastal municipality and tourist settlement on the island of Pag in Croatia, known for its beaches and Mediterranean landscape.
- 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15bdeae9c8190a5b66e540484db37 |
completed | April 29, 2026, 1:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b12568a7081908ef22da422fa90ca |
completed | May 18, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_6a0b14b7acac819090bfd6144df84be6 |
completed | May 18, 2026, 1:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b154f7e0c8190b0ca64d582982d62 |
completed | May 18, 2026, 1:34 p.m. |
Created at: April 16, 2026, 8:48 p.m.