Triple
T16073533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruth M. Davis |
E389925
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Ruth Nitze |
E389925
|
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: Ruth Nitze | Statement: [Ruth M. Davis, birthName, Ruth Nitze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruth Nitze Context triple: [Ruth M. Davis, birthName, Ruth Nitze]
-
A.
Ruth M. Davis (Ruth Nitze)
chosen
Ruth M. Davis (born Ruth Nitze) was a pioneering American computer scientist and high-ranking government technology official who played a key role in advancing federal information systems and technology policy.
-
B.
Hilda Schiff
Hilda Schiff was a literary scholar and editor known for her work on Holocaust literature and the writings of Primo Levi.
-
C.
Belle W. Baruch
Belle W. Baruch was an American philanthropist, conservationist, and equestrian best known for preserving South Carolina’s Hobcaw Barony as a research reserve and wildlife refuge.
-
D.
Rita Wallach Morgenthau
Rita Wallach Morgenthau was an American philanthropist and arts patron best known for helping establish influential theater institutions in New York City.
-
E.
Neta Riskin
Neta Riskin is an Israeli actress known for her work in film and television, including prominent roles in both Israeli productions and international projects.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183c0390c8190b0da263cccec14e5 |
completed | April 17, 2026, 12:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe484cef08190a3797c91a7025081 |
completed | May 10, 2026, 1:51 a.m. |
Created at: April 10, 2026, 4:57 a.m.