Triple
T14196667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Basilone |
E351853
|
entity |
| Predicate | medalOfHonorCitationFor |
P74194
|
FINISHED |
| Object | actions on Guadalcanal, October 24–25, 1942 |
—
|
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: actions on Guadalcanal, October 24–25, 1942 | Statement: [John Basilone, medalOfHonorCitationFor, actions on Guadalcanal, October 24–25, 1942]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medalOfHonorCitationFor Context triple: [John Basilone, medalOfHonorCitationFor, actions on Guadalcanal, October 24–25, 1942]
-
A.
medalOfHonorPosthumous
Indicates that a Medal of Honor was awarded to an individual after their death.
-
B.
militaryAward
Indicates that an entity has received or been granted a specific military honor, decoration, or award.
-
C.
MedalOfHonorAwardDate
Indicates the date on which a Medal of Honor was formally awarded to a recipient.
-
D.
isMilitaryAwardFor
chosen
Indicates that something is a military honor or decoration given in recognition of a specific action, service, or achievement.
-
E.
medalOfHonorPresentedBy
Indicates that a Medal of Honor was formally awarded or presented to someone by a specific person or organization.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61e30f208190b61c1c7bd3501156 |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05baed64819096590e5618a3a8ed |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:04 a.m.