Triple
T14911233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Bird Johnson |
E371263
|
entity |
| Predicate | positionTimeContext |
P8810
|
FINISHED |
| Object | First Lady of the United States term of Lyndon B. Johnson |
—
|
LITERAL 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: First Lady of the United States term of Lyndon B. Johnson | Statement: [Lady Bird Johnson, positionTimeContext, First Lady of the United States term of Lyndon B. Johnson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionTimeContext Context triple: [Lady Bird Johnson, positionTimeContext, First Lady of the United States term of Lyndon B. Johnson]
-
A.
positionStartTime
Indicates the time at which a position, role, or placement begins.
-
B.
positionInTimeScale
chosen
Indicates the specific point or interval an event or state occupies within a defined temporal scale or timeline.
-
C.
endTimePosition
Indicates the temporal position or point in time at which an event, state, or interval comes to an end.
-
D.
positionOnPast
Indicates that one entity occupied a specific position or location relative to another entity at some point in the past.
-
E.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
- F. None of above.
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. |
| PD | Predicate disambiguation | batch_69de9a4a14a88190951bb8f4c60bd37b |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:26 a.m.