Triple
T14911204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Bird Johnson |
E371263
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Alta |
E657635
|
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: Alta | Statement: [Lady Bird Johnson, middleName, Alta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alta Context triple: [Lady Bird Johnson, middleName, Alta]
-
A.
Alta
Alta is a small mountain town in Utah best known for its world-class powder skiing at Alta Ski Area in the Wasatch Range.
-
B.
Alta
Alta is a town in northern Norway known for its Arctic location, winter sports, and proximity to the Northern Lights.
-
C.
Alta
chosen
Alta is a feminine given name of Latin origin meaning "high" or "elevated," used in various cultures but particularly in English-speaking countries.
-
D.
Escalante
Escalante is a coastal city in the province of Negros Occidental in the Philippines, known for its agricultural economy and historical significance.
-
E.
Aguls
The Aguls are a small indigenous ethnic group of Dagestan in the North Caucasus, known for their distinct Northeast Caucasian language and traditional mountain village culture.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded61d75008190b6f9a1a38137836f |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e86ce888190b03056db39438701 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:26 a.m.