Triple
T14965454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natalie Zemon Davis |
E373177
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Natalie Zemon Davis |
E373177
|
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: Natalie Zemon Davis | Statement: [Natalie Zemon Davis, fullName, Natalie Zemon Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Natalie Zemon Davis Context triple: [Natalie Zemon Davis, fullName, Natalie Zemon Davis]
-
A.
Natalie Zemon Davis
chosen
Natalie Zemon Davis is a renowned historian of early modern Europe, celebrated for her innovative social and cultural histories such as "The Return of Martin Guerre."
-
B.
Nora Schmidgall
Nora Schmidgall is a former ice hockey player recognized as a notable alumna of the Providence Friars women's ice hockey program.
-
C.
Martha Etpison
Martha Etpison is a Palauan cultural advocate and former First Lady of Palau known for her efforts to preserve and promote Palauan history and heritage.
-
D.
Kathleen Middlekauff
Kathleen Middlekauff is an American academic and former spouse of investigative journalist and author Bob Woodward.
-
E.
Michael Kammen
Michael Kammen was an American historian renowned for his work on U.S. cultural history and collective memory, and a Pulitzer Prize-winning author.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e2fdcc8190bffe603db3388736 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8be122688190b20fe4450786158a |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:47 a.m.