Triple
T13846521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Pasley |
E332820
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Pasley
Pasley is a surname of English and Scottish origin borne by various notable figures, including military officers and public servants.
|
E1065648
|
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: Pasley | Statement: [Thomas Pasley, familyName, Pasley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pasley Context triple: [Thomas Pasley, familyName, Pasley]
-
A.
Paisley Verea
Paisley Verea is the daughter of English-American actress Gabrielle Anwar.
-
B.
Poulter
Poulter is an English surname most notably borne by actor Will Poulter, known for his roles in films such as "The Maze Runner" and "The Revenant."
-
C.
Pattison
Pattison was the original name of what is now known as Pattison Avenue station, a transit station in Philadelphia.
-
D.
Teresa Mary Palmer
Teresa Mary Palmer is an Australian actress and model known for her roles in films such as "Warm Bodies," "Lights Out," and "Hacksaw Ridge."
-
E.
Jean Stewart
Jean Stewart was a medieval Scottish noblewoman, likely a daughter of Elizabeth Mure and King Robert II of Scotland, connected to the early Stewart royal lineage.
- 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: Pasley Triple: [Thomas Pasley, familyName, Pasley]
Generated description
Pasley is a surname of English and Scottish origin borne by various notable figures, including military officers and public servants.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pasley Target entity description: Pasley is a surname of English and Scottish origin borne by various notable figures, including military officers and public servants.
-
A.
Paisley Verea
Paisley Verea is the daughter of English-American actress Gabrielle Anwar.
-
B.
Poulter
Poulter is an English surname most notably borne by actor Will Poulter, known for his roles in films such as "The Maze Runner" and "The Revenant."
-
C.
Pattison
Pattison was the original name of what is now known as Pattison Avenue station, a transit station in Philadelphia.
-
D.
Teresa Mary Palmer
Teresa Mary Palmer is an Australian actress and model known for her roles in films such as "Warm Bodies," "Lights Out," and "Hacksaw Ridge."
-
E.
Jean Stewart
Jean Stewart was a medieval Scottish noblewoman, likely a daughter of Elizabeth Mure and King Robert II of Scotland, connected to the early Stewart royal lineage.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02b1a25c8190a9f85ba43c421188 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0f189008190bb9afeef42564a33 |
completed | May 3, 2026, 9:41 p.m. |
| NEDg | Description generation | batch_69f7c23410dc8190972245cecfa85871 |
completed | May 3, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c3031a0c8190ad30d59fe1f2322e |
completed | May 3, 2026, 9:49 p.m. |
Created at: April 9, 2026, 10:13 p.m.