Triple
T3040527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia Sweeney |
E83115
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Sweeney
Sweeney is a surname of Irish and Scottish origin borne by various notable individuals in entertainment, sports, and public life.
|
E320304
|
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: Sweeney | Statement: [Julia Sweeney, familyName, Sweeney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sweeney Context triple: [Julia Sweeney, familyName, Sweeney]
-
A.
Weaver
Weaver is a common English occupational surname historically given to people who worked as weavers of cloth or textiles.
-
B.
Sunny Jim
Sunny Jim was the popular nickname of James Rolph, a prominent early 20th-century California politician who served as mayor of San Francisco and later governor of California.
-
C.
Dayman
Dayman is a fictional heroic persona from "It's Always Sunny in Philadelphia," featured in the show's satirical musical storyline.
-
D.
Ewen
Ewen is a small village in Gloucestershire, England, situated near the source of the River Thames.
-
E.
Scudder
Scudder is a family surname that may refer to various individuals, including the fictional Mrs. Scudder and other real or literary figures bearing that name.
- 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: Sweeney Triple: [Julia Sweeney, familyName, Sweeney]
Generated description
Sweeney is a surname of Irish and Scottish origin borne by various notable individuals in entertainment, sports, and public life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sweeney Target entity description: Sweeney is a surname of Irish and Scottish origin borne by various notable individuals in entertainment, sports, and public life.
-
A.
Weaver
Weaver is a common English occupational surname historically given to people who worked as weavers of cloth or textiles.
-
B.
Sunny Jim
Sunny Jim was the popular nickname of James Rolph, a prominent early 20th-century California politician who served as mayor of San Francisco and later governor of California.
-
C.
Dayman
Dayman is a fictional heroic persona from "It's Always Sunny in Philadelphia," featured in the show's satirical musical storyline.
-
D.
Ewen
Ewen is a small village in Gloucestershire, England, situated near the source of the River Thames.
-
E.
Scudder
Scudder is a family surname that may refer to various individuals, including the fictional Mrs. Scudder and other real or literary figures bearing that name.
- 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_69ad8b2298908190a7cb4e9bdbf064d0 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b59fea8819091796e30812df9c5 |
completed | March 8, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1ded01a1481908be7d44c2bf4e638 |
completed | March 11, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69b1df61bb208190b7714ff14ff81a99 |
completed | March 11, 2026, 9:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1dfd8fc5481908f1e130226d606fb |
completed | March 11, 2026, 9:34 p.m. |
Created at: March 8, 2026, 3:01 p.m.