Triple
T3515272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Hurley |
E74290
|
entity |
| Predicate | officeEndTime (Chief of the Defence Force) |
P48467
|
FINISHED |
| Object | 2014-06-30 |
—
|
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: 2014-06-30 | Statement: [David Hurley, officeEndTime (Chief of the Defence Force), 2014-06-30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeEndTime (Chief of the Defence Force) Context triple: [David Hurley, officeEndTime (Chief of the Defence Force), 2014-06-30]
-
A.
hasChiefOfDefenceStaff
Indicates that an entity holds the position or role of Chief of Defence Staff for another entity, typically a state or military organization.
-
B.
endTimeChiefOfStaffUSArmy
Indicates the date and time at which an individual’s tenure as Chief of Staff of the U.S. Army ends.
-
C.
chiefOfDefenceForce
Indicates that one entity serves as the highest-ranking military officer or commander of the armed forces of another entity (typically a country).
-
D.
officeEndForNKVDChief
Indicates the date or event marking when an individual’s tenure as NKVD chief ended.
-
E.
officeEnd (Governor-General of Pakistan)
Indicates the date or point in time when the Governor-General of Pakistan’s term in office ended.
- 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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc30362c81908ca7497a6a935cc6 |
completed | March 8, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69adae10689c8190b7dc6d7daa8295b6 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adaed74ecc8190b74dc70ab59a3e1c |
completed | March 8, 2026, 5:16 p.m. |
Created at: March 8, 2026, 3:19 p.m.