Triple
T12172391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lillian Wald |
E290001
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Wald |
E212550
|
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: Wald | Statement: [Lillian Wald, familyName, Wald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wald Context triple: [Lillian Wald, familyName, Wald]
-
A.
Wald
chosen
Wald is a surname most notably associated with Abraham Wald, a pioneering statistician known for his work on statistical decision theory and survivorship bias during World War II.
-
B.
Walde
Walde is a diminutive or short form of the given name Waldemar, used as a familiar or affectionate variant.
-
C.
Walatowa
Walatowa is the traditional Towa name for Jemez Pueblo, a Native American community in north-central New Mexico known for its rich cultural and linguistic heritage.
-
D.
Seloo
Seloo is a town in the Indian state of Maharashtra, known as a local commercial and educational center within the Vidarbha region.
-
E.
Timaná
Timaná is a municipality and town in southern Colombia known for its colonial heritage and agricultural economy within the Andean region.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915dab42881908e2580c631d4d1cf |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6a6de3081908e5e0030c081d5a4 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:50 p.m.