Triple
T4333261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chief of the Defence Force |
E97402
|
entity |
| Predicate | sharesLeadershipWith |
P55625
|
FINISHED |
| Object | Secretary of the Department of Defence |
—
|
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: Secretary of the Department of Defence | Statement: [Chief of the Defence Force, sharesLeadershipWith, Secretary of the Department of Defence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesLeadershipWith Context triple: [Chief of the Defence Force, sharesLeadershipWith, Secretary of the Department of Defence]
-
A.
sharesUniverseWith
Indicates that two entities exist within the same fictional or narrative universe, implying shared continuity, setting, or canon.
-
B.
sharesTrainingWith
Indicates that two entities have participated in the same training activity, program, or session.
-
C.
sharesNameWith
Indicates that two entities have the same name or an identical naming designation.
-
D.
sharesRoleWith
Indicates that two entities hold the same role or position within a given context or system.
-
E.
sharesFieldWith
Indicates that two entities are involved in or associated with the same field, discipline, or area of specialization.
- 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_69b3454662a481908fbcd0bbfaa3a0a4 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3514faaac819081475681fd10da24 |
completed | March 12, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69b34f4e13fc8190a42c519f37959d27 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b34ff654308190b9717526120d80d3 |
completed | March 12, 2026, 11:44 p.m. |
Created at: March 12, 2026, 11:13 p.m.