Triple
T9382613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henri Lefebvre |
E225821
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | David Harvey |
E742209
|
NE FINISHED |
How this triple was built (2 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: [Henri Lefebvre, influenced, David Harvey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Harvey Context triple: [Henri Lefebvre, influenced, David Harvey]
-
A.
David Harvey
chosen
David Harvey is a prominent Marxist geographer and social theorist known for his influential critiques of capitalism and urbanization.
-
B.
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.
-
C.
Eric Wolf
Eric Wolf was an influential anthropologist known for integrating Marxist perspectives into the study of peasant societies, power, and global historical processes.
-
D.
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.
-
E.
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."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca842e9dcc8190a264119e683cfe04 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50c11d648190b03cedbce0b72c60 |
completed | April 1, 2026, 5:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d100ddec0c8190854fb5db36e840db |
completed | April 4, 2026, 12:15 p.m. |
Created at: March 30, 2026, 7:44 p.m.