Triple
T1055694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1960 United States presidential election |
E22795
|
entity |
| Predicate | firstTelevisedDebateDate |
P22968
|
FINISHED |
| Object | 1960-09-26 |
—
|
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: 1960-09-26 | Statement: [1960 United States presidential election, firstTelevisedDebateDate, 1960-09-26]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstTelevisedDebateDate Context triple: [1960 United States presidential election, firstTelevisedDebateDate, 1960-09-26]
-
A.
firstDemocraticElectionDate
Indicates the date on which an entity held its first election conducted under a democratic system.
-
B.
firstElectionDate
Indicates the date on which an entity (such as a person or office) participated in or held its first election.
-
C.
timeOfMajorDebate
Indicates the specific time at which a major debate takes place or is scheduled.
-
D.
hasDebate
Indicates that there is a formal discussion or argument between entities, typically presenting opposing viewpoints on a topic.
-
E.
debatedAt
Indicates that a debate or formal discussion involving the subject took place at the specified location or event.
- F. None of above. chosen
Provenance (4 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8d9102c819090af78cae50f0ff2 |
completed | March 1, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69a4b731e25c8190b5ea8466648c2c9a |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7da38888190a118ef20ce4ae9aa |
completed | March 1, 2026, 10:04 p.m. |
Created at: March 1, 2026, 7:42 p.m.