Triple
T34891949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieutenant Colonel Nathaniel Serling |
E1006309
|
entity |
| Predicate | associatedAwardInvestigation |
P219
|
FINISHED |
| Object | Medal of Honor |
E16474
|
NE 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: Medal of Honor | Statement: [Lieutenant Colonel Nathaniel Serling, associatedAwardInvestigation, Medal of Honor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedAwardInvestigation Context triple: [Lieutenant Colonel Nathaniel Serling, associatedAwardInvestigation, Medal of Honor]
-
A.
investigatedBy
Indicates that an entity is the subject of an investigation carried out by another entity.
-
B.
relatedAward
chosen
Indicates that there is an award connected or associated with the subject entity, such as an honor, prize, or recognition related to it.
-
C.
investigationInvolvement
Indicates that an entity participates in, is associated with, or plays a role in a particular investigation.
-
D.
relatedInvestigationOf
Indicates that one investigation is connected to, derived from, or concerned with another investigation or case.
-
E.
investigatesIn
Indicates that an entity conducts an investigation or inquiry within, or focused on, a particular context, location, or domain.
- F. None of above.
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_69f76dbfe5788190ad8b64f241f470c8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3786e2a39881908aa6c1aaa1af84da |
completed | June 21, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4 p.m.