Triple
T6170361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kathleen Kennedy |
E137677
|
entity |
| Predicate | aircraftAccidentYear |
P69193
|
FINISHED |
| Object | 1948 |
—
|
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: 1948 | Statement: [Kathleen Kennedy, aircraftAccidentYear, 1948]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftAccidentYear Context triple: [Kathleen Kennedy, aircraftAccidentYear, 1948]
-
A.
notableAccidentYear
Indicates the year in which a notable accident involving the subject occurred.
-
B.
missionAccidentDate
Indicates the date on which an accident occurred during or in relation to a mission.
-
C.
missionAccident
Indicates that an accident or unintended harmful event occurred during the course of a mission or operation.
-
D.
aircraftAgeAtAccident
Indicates the length of time that has elapsed between an aircraft’s manufacture (or initial service) date and the date of the accident.
-
E.
yearOfFlight
Indicates the specific calendar year in which a particular flight took place or is scheduled to occur.
- 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_69c008a68c508190a8d78245c865960e |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d8f97708190bebbc49c4a56c8a5 |
completed | March 22, 2026, 9:22 p.m. |
| PD | Predicate disambiguation | batch_69c055f7f12881908e21c04e9b752ba4 |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c056df95ac8190bc5efe050d3af864 |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:18 p.m.