Triple
T25743432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert F. Stryker |
E648279
|
entity |
| Predicate | MedalOfHonorStatus |
P159497
|
FINISHED |
| Object | posthumous recipient |
—
|
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: posthumous recipient | Statement: [Robert F. Stryker, MedalOfHonorStatus, posthumous recipient]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MedalOfHonorStatus Context triple: [Robert F. Stryker, MedalOfHonorStatus, posthumous recipient]
-
A.
MedalOfHonorAwardDate
Indicates the date on which a Medal of Honor was formally awarded to a recipient.
-
B.
militaryStatus
Indicates the relationship between an entity and a military organization in terms of service condition, such as active duty, reserve, veteran, or non-military status.
-
C.
MedalOfHonorRecipient
Indicates that an individual has been formally awarded the Medal of Honor for acts of extraordinary valor.
-
D.
countryOfHonor
Indicates the country that is formally recognized or designated as being honored in a particular context, event, or distinction.
-
E.
isNonCampaignMedal
Indicates that a medal is classified as a non-campaign medal, meaning it is not awarded for participation in a specific military campaign or operation.
- 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_69e7ab306eec8190b05c312c6ab186b8 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fd1c691881908f2ab63b812d978a |
completed | May 2, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69f4a0fed15881909b789251fe5d8d45 |
completed | May 1, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 22, 2026, 3:47 a.m.