Triple
T33459337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Adams Butterfield |
E856864
|
entity |
| Predicate | medalOfHonorFor |
P176647
|
FINISHED |
| Object | actions at the Battle of Gaines Mill |
—
|
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 at the Battle of Gaines Mill | Statement: [Daniel Adams Butterfield, medalOfHonorFor, actions at the Battle of Gaines Mill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medalOfHonorFor Context triple: [Daniel Adams Butterfield, medalOfHonorFor, actions at the Battle of Gaines Mill]
-
A.
MedalOfHonorRecipient
Indicates that an individual has been formally awarded the Medal of Honor for acts of extraordinary valor.
-
B.
medalOfHonorPosthumous
Indicates that a Medal of Honor was awarded to an individual after their death.
-
C.
USMedalOfHonorRecipient
Indicates that the subject is a recipient of the United States Medal of Honor, the highest military decoration awarded for acts of valor.
-
D.
isMilitaryAwardFor
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. 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_69f3497281a08190b4705de0b5f26ba7 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e52a6d40819084472f6072c91e9f |
completed | May 3, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6e47c13348190a10528c84a401178 |
completed | May 3, 2026, 6 a.m. |
Created at: May 1, 2026, 1:37 a.m.