Triple
T8547090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verso Books |
E202354
|
entity |
| Predicate | notableAuthorPublished |
P7039
|
FINISHED |
| Object |
David Harvey
David Harvey is a prominent Marxist geographer and social theorist known for his influential critiques of capitalism and urbanization.
|
E742209
|
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 Harvey | Statement: [Verso Books, notableAuthorPublished, David Harvey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Harvey Context triple: [Verso Books, notableAuthorPublished, David Harvey]
-
A.
Geoffrey Scoones
Geoffrey Scoones was a British Indian Army lieutenant general who played a key leadership role in the Burma Campaign of World War II.
-
B.
Eric Wolf
Eric Wolf was an influential anthropologist known for integrating Marxist perspectives into the study of peasant societies, power, and global historical processes.
-
C.
David Soward
David Soward is an entrepreneur best known as a co-founder of the cosmetics brand Urban Decay, which helped popularize edgy, alternative makeup in the 1990s.
-
D.
Neil Smith
Neil Smith is a film editor known for his work on major feature films, including the fantasy action movie "Snow White and the Huntsman."
-
E.
Daniel Miller
Daniel Miller is known as a son of the renowned American playwright Arthur Miller.
- 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 Harvey Triple: [Verso Books, notableAuthorPublished, David Harvey]
Generated description
David Harvey is a prominent Marxist geographer and social theorist known for his influential critiques of capitalism and urbanization.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Harvey Target entity description: David Harvey is a prominent Marxist geographer and social theorist known for his influential critiques of capitalism and urbanization.
-
A.
Geoffrey Scoones
Geoffrey Scoones was a British Indian Army lieutenant general who played a key leadership role in the Burma Campaign of World War II.
-
B.
Eric Wolf
Eric Wolf was an influential anthropologist known for integrating Marxist perspectives into the study of peasant societies, power, and global historical processes.
-
C.
David Soward
David Soward is an entrepreneur best known as a co-founder of the cosmetics brand Urban Decay, which helped popularize edgy, alternative makeup in the 1990s.
-
D.
Neil Smith
Neil Smith is a film editor known for his work on major feature films, including the fantasy action movie "Snow White and the Huntsman."
-
E.
Daniel Miller
Daniel Miller is known as a son of the renowned American playwright Arthur Miller.
- 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_69ca832461e88190a654c5e44e233aa8 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe7511f8c819083d69fb6a0b55801 |
completed | March 31, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6dbbb12c819085d1abe289fd1f22 |
completed | April 2, 2026, 1:23 p.m. |
| NEDg | Description generation | batch_69ce71d9eac481908610589efa9f9ddd |
completed | April 2, 2026, 1:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce75b832248190b7273605cf5ff67a |
completed | April 2, 2026, 1:57 p.m. |
Created at: March 30, 2026, 6:19 p.m.