Triple
T7483390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate Lardner |
E176817
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object |
David Lardner
David Lardner was an American journalist and war correspondent for The New Yorker who was killed while covering World War II.
|
E689177
|
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: David Lardner | Statement: [Kate Lardner, father, David Lardner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Lardner Context triple: [Kate Lardner, father, David Lardner]
-
A.
John Dolman
John Dolman was an English clergyman and benefactor of the late 16th century best known for establishing Pocklington School in Yorkshire.
-
B.
William Ashburner
William Ashburner was a 19th-century American mining engineer and geologist known for his work in mineral surveying and resource assessment in the western United States.
-
C.
Jonathan Latimer
Jonathan Latimer was an American crime novelist and screenwriter known for his hardboiled detective fiction and for adapting works by authors like Dashiell Hammett for film.
-
D.
Philip Christison
Philip Christison was a British Army general who held senior commands in World War II, particularly in Southeast Asia.
-
E.
John L. Lumley
John L. Lumley was a prominent American fluid dynamicist known for his pioneering contributions to the understanding and modeling of turbulence.
- 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: David Lardner Triple: [Kate Lardner, father, David Lardner]
Generated description
David Lardner was an American journalist and war correspondent for The New Yorker who was killed while covering World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Lardner Target entity description: David Lardner was an American journalist and war correspondent for The New Yorker who was killed while covering World War II.
-
A.
John Dolman
John Dolman was an English clergyman and benefactor of the late 16th century best known for establishing Pocklington School in Yorkshire.
-
B.
William Ashburner
William Ashburner was a 19th-century American mining engineer and geologist known for his work in mineral surveying and resource assessment in the western United States.
-
C.
Jonathan Latimer
Jonathan Latimer was an American crime novelist and screenwriter known for his hardboiled detective fiction and for adapting works by authors like Dashiell Hammett for film.
-
D.
Philip Christison
Philip Christison was a British Army general who held senior commands in World War II, particularly in Southeast Asia.
-
E.
John L. Lumley
John L. Lumley was a prominent American fluid dynamicist known for his pioneering contributions to the understanding and modeling of turbulence.
- 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_69c69f24ac508190bb98fe927c0bd065 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f53923e4819081bf79ed962a971c |
completed | March 27, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8f30833588190a7217fdf160f2d49 |
completed | March 29, 2026, 9:38 a.m. |
| NEDg | Description generation | batch_69c8f392edd8819089852a9fd71cc970 |
completed | March 29, 2026, 9:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8f48bdf1c8190aab34120be7b08e1 |
completed | March 29, 2026, 9:44 a.m. |
Created at: March 27, 2026, 3:42 p.m.