Triple
T3822106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orrin Hatch |
E88595
|
entity |
| Predicate | dateAwarded (Presidential Medal of Freedom) |
P8111
|
FINISHED |
| Object | 2018-11-16 |
—
|
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: 2018-11-16 | Statement: [Orrin Hatch, dateAwarded (Presidential Medal of Freedom), 2018-11-16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateAwarded (Presidential Medal of Freedom) Context triple: [Orrin Hatch, dateAwarded (Presidential Medal of Freedom), 2018-11-16]
-
A.
peacetimeAward
Indicates that an award or honor is given during a period of peace rather than during wartime or active conflict.
-
B.
yearHonored
chosen
Indicates the specific year in which an entity received an honor, award, or formal recognition.
-
C.
recipientOfAward
Indicates that an entity has received or been granted a particular award.
-
D.
isPosthumousAwardRecipientOf
Indicates that an entity received an award that was granted after their death.
-
E.
awardReceived
Indicates that an entity has been granted or honored with a specific award or recognition.
- 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_69aed9538cf881909d9ce8ca4ac7c18c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef188b474819087680db42b04ecdd |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee74a2bc081909b237df8b1e27653 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:17 p.m.