Triple
T4931921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Rennie the Younger |
E110715
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Rennie
Rennie is a Scottish surname most notably associated with the family of civil engineers, including John Rennie the Younger.
|
E480645
|
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: Rennie | Statement: [John Rennie the Younger, familyName, Rennie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rennie Context triple: [John Rennie the Younger, familyName, Rennie]
-
A.
Rennahan
Rennahan is a surname most notably associated with Ray Rennahan, an American cinematographer known for his pioneering work with Technicolor.
-
B.
Dinneen
Dinneen is a surname of Irish origin borne by various notable individuals in sports, politics, and the arts.
-
C.
Keefer
Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
-
D.
Rennie Wilford
Rennie Wilford is the protagonist of Margaret Atwood’s novel "Bodily Harm," a travel journalist whose trip to a Caribbean island becomes a harrowing exploration of political unrest and personal vulnerability.
-
E.
Gaven
Gaven is a suburb on the Gold Coast in Queensland, Australia, known for its semi-rural character and proximity to major transport routes.
- 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: Rennie Triple: [John Rennie the Younger, familyName, Rennie]
Generated description
Rennie is a Scottish surname most notably associated with the family of civil engineers, including John Rennie the Younger.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rennie Target entity description: Rennie is a Scottish surname most notably associated with the family of civil engineers, including John Rennie the Younger.
-
A.
Rennahan
Rennahan is a surname most notably associated with Ray Rennahan, an American cinematographer known for his pioneering work with Technicolor.
-
B.
Dinneen
Dinneen is a surname of Irish origin borne by various notable individuals in sports, politics, and the arts.
-
C.
Keefer
Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
-
D.
Rennie Wilford
Rennie Wilford is the protagonist of Margaret Atwood’s novel "Bodily Harm," a travel journalist whose trip to a Caribbean island becomes a harrowing exploration of political unrest and personal vulnerability.
-
E.
Gaven
Gaven is a suburb on the Gold Coast in Queensland, Australia, known for its semi-rural character and proximity to major transport routes.
- 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_69bd4415190c8190817bee7ec9f9f944 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7063c57c8190a5a6fb3586238d35 |
completed | March 20, 2026, 4:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be77b18b6c8190bbc8d0764f6a03bf |
completed | March 21, 2026, 10:49 a.m. |
| NEDg | Description generation | batch_69be78ce97948190a0a54b1baa0ff979 |
completed | March 21, 2026, 10:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be7929cec08190a6fb28385c5bfce9 |
completed | March 21, 2026, 10:55 a.m. |
Created at: March 20, 2026, 1:30 p.m.