Triple
T7883499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ross Volunteers |
E183040
|
entity |
| Predicate | officialHonorGuardFor |
P79553
|
FINISHED |
| Object | Governor of Texas |
—
|
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: Governor of Texas | Statement: [Ross Volunteers, officialHonorGuardFor, Governor of Texas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialHonorGuardFor Context triple: [Ross Volunteers, officialHonorGuardFor, Governor of Texas]
-
A.
isMilitaryOfficer
Indicates that the subject holds an official position as an officer within a military organization.
-
B.
officerCorps
Indicates that an entity belongs to, is part of, or is associated with a group or body of officers within an organization or institution.
-
C.
highestStateHonorOf
Indicates that one entity is the most prestigious state-level honor or award conferred by the other entity.
-
D.
isMilitaryOrderGrade
Indicates that one entity is classified as a specific grade or level within a military order or honor system in relation to another entity.
-
E.
honourOf
Indicates that one entity is the source, bearer, or cause of another entity’s honor, prestige, or distinguished recognition.
- 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_69ca828af6e48190a06ee7010d8f0e64 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39d36574819092d70e24c37952d7 |
completed | March 31, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69cae92b0cd881908e715a10d3252e83 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf786ec748190b6347b0c94335550 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:58 p.m.