Triple
T37560068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1948 United States Senate election in Texas |
E933792
|
entity |
| Predicate | impactOnWinner |
P47033
|
FINISHED |
| Object | secured Lyndon B. Johnson a seat in the U.S. Senate |
—
|
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: secured Lyndon B. Johnson a seat in the U.S. Senate | Statement: [1948 United States Senate election in Texas, impactOnWinner, secured Lyndon B. Johnson a seat in the U.S. Senate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnWinner Context triple: [1948 United States Senate election in Texas, impactOnWinner, secured Lyndon B. Johnson a seat in the U.S. Senate]
-
A.
impactOnField
Indicates the effect or influence that one entity, action, or development has on a particular field or domain.
-
B.
impactOnStandings
Indicates how an event or outcome affects the relative rankings or standings within a competition or system.
-
C.
impactOnLeader
chosen
Indicates that one entity has an effect, influence, or consequence on a leader within a given context.
-
D.
impactStatus
Indicates the current state or condition of how something has affected or influenced a target.
-
E.
impactIfCompleted
Indicates the effect or consequence that will occur if the referenced task or action is fully completed.
- 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_69f76ecb4acc8190b53f96d0b013e415 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:17 p.m.