Triple
T17758587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy S. Geiger |
E443307
|
entity |
| Predicate | wasOneOfFirst |
P128238
|
FINISHED |
| Object | Marine Corps aviators |
—
|
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: Marine Corps aviators | Statement: [Roy S. Geiger, wasOneOfFirst, Marine Corps aviators]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasOneOfFirst Context triple: [Roy S. Geiger, wasOneOfFirst, Marine Corps aviators]
-
A.
wasFirstOf
Indicates that the subject is the earliest or initial instance in a series, sequence, or group of similar entities or events.
-
B.
wasFirst
Indicates that one entity occurred, appeared, or held a position before another in time or sequence.
-
C.
saidToBeTheFirst
Indicates that one entity is claimed or regarded as being the earliest or original instance of something relative to others.
-
D.
wasIn
Indicates that an entity existed, occurred, or was located within a particular place or context during a specified time or situation.
-
E.
wasA
Indicates that an entity previously had a certain role, type, or classification in the past.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48420ad188190aeb0f4ec1d23ee5c |
completed | April 19, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69e3cde9dc288190af0e2198487f2051 |
completed | April 18, 2026, 6:31 p.m. |
| PDg | Predicate description generation | batch_69e3cfab7edc8190b663282d565a0389 |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 10:10 a.m.