Triple
T15249729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbara Tuchman |
E364486
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Barbara |
E7758
|
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: Barbara | Statement: [Barbara Tuchman, givenName, Barbara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barbara Context triple: [Barbara Tuchman, givenName, Barbara]
-
A.
Barbara
chosen
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
-
B.
Barbara
Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
-
C.
Barbara Barb
Barbara Barb was the wife of American cartoonist Charles Addams, creator of the macabre Addams Family.
-
D.
Barbara Havelone
Barbara Havelone is best known as the wife of American actor Lee Van Cleef, a prominent figure in classic Western films.
-
E.
Melva
Melva is a character in Richard Bruce Nugent’s modernist short story "Smoke, Lilies and Jade," which explores themes of race, sexuality, and artistic identity during the Harlem Renaissance.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f62b9c8190b9ad40e2d1912b63 |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef6c25808190af46f4cab56f133c |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:13 a.m.