Triple
T20746361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruth Rendell |
E510594
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Rendell
Rendell is an English surname most notably associated with acclaimed crime novelist Ruth Rendell.
|
E1448561
|
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: Rendell | Statement: [Ruth Rendell, familyName, Rendell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rendell Context triple: [Ruth Rendell, familyName, Rendell]
-
A.
Ed Rendell
Ed Rendell is an American Democratic politician who served as mayor of Philadelphia and later as governor of Pennsylvania.
-
B.
Josh Shapiro
Josh Shapiro is an American politician and attorney serving as the Democratic governor of Pennsylvania, known for his prior roles as the state’s attorney general and a prominent figure in state and national politics.
-
C.
Michael Cavener
Michael Cavener is a musician known for being a member of the Canadian rock band The Guess Who.
-
D.
Justin Francis Rigali
Justin Francis Rigali is an American cardinal of the Roman Catholic Church who has served in prominent leadership roles, including as Archbishop of St. Louis and later Philadelphia.
-
E.
Tom Ridge
Tom Ridge is an American politician and former governor of Pennsylvania who became the inaugural U.S. Secretary of Homeland Security, helping to shape the nation’s post-9/11 security framework.
- 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: Rendell Triple: [Ruth Rendell, familyName, Rendell]
Generated description
Rendell is an English surname most notably associated with acclaimed crime novelist Ruth Rendell.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rendell Target entity description: Rendell is an English surname most notably associated with acclaimed crime novelist Ruth Rendell.
-
A.
Ed Rendell
Ed Rendell is an American Democratic politician who served as mayor of Philadelphia and later as governor of Pennsylvania.
-
B.
Josh Shapiro
Josh Shapiro is an American politician and attorney serving as the Democratic governor of Pennsylvania, known for his prior roles as the state’s attorney general and a prominent figure in state and national politics.
-
C.
Michael Cavener
Michael Cavener is a musician known for being a member of the Canadian rock band The Guess Who.
-
D.
Justin Francis Rigali
Justin Francis Rigali is an American cardinal of the Roman Catholic Church who has served in prominent leadership roles, including as Archbishop of St. Louis and later Philadelphia.
-
E.
Tom Ridge
Tom Ridge is an American politician and former governor of Pennsylvania who became the inaugural U.S. Secretary of Homeland Security, helping to shape the nation’s post-9/11 security framework.
- 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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c225c564819088f2461467698095 |
completed | April 21, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08e84274d08190a851de1f415bcbc6 |
completed | May 16, 2026, 9:57 p.m. |
| NEDg | Description generation | batch_6a08e8fc1d6c819083f06debaa3bec24 |
completed | May 16, 2026, 10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08e98a594c8190b3a2d9ae7e3af4f7 |
completed | May 16, 2026, 10:02 p.m. |
Created at: April 16, 2026, 12:33 p.m.