Triple
T19235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Essence of Security |
E380
|
entity |
| Predicate | hasAuthorPosition |
P938
|
FINISHED |
| Object | Robert McNamara as U.S. Secretary of Defense during the early Cold War |
—
|
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: Robert McNamara as U.S. Secretary of Defense during the early Cold War | Statement: [The Essence of Security, hasAuthorPosition, Robert McNamara as U.S. Secretary of Defense during the early Cold War]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorPosition Context triple: [The Essence of Security, hasAuthorPosition, Robert McNamara as U.S. Secretary of Defense during the early Cold War]
-
A.
authorOccupation
chosen
Indicates the professional role or job that an author holds or is associated with.
-
B.
namePosition
Indicates the positional or ordering relationship of a name within a sequence or structured context (e.g., first, last, or specific index).
-
C.
hasAcademicRank
Indicates that an entity holds a specific academic rank or title within an educational or research institution.
-
D.
hasCopyrightHolder
Indicates that a specified entity holds the legal copyright ownership or rights over another entity.
-
E.
describedByAuthorAs
Indicates that one entity is characterized, labeled, or portrayed in a particular way by an author.
- 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_69a240778d288190815c0052ebbbcc91 |
completed | Feb. 28, 2026, 1:10 a.m. |
| NER | Named-entity recognition | batch_69a246cbca108190a92478df126d9bf8 |
completed | Feb. 28, 2026, 1:37 a.m. |
| PD | Predicate disambiguation | batch_69a2464f61648190ac690044be194972 |
completed | Feb. 28, 2026, 1:35 a.m. |
Created at: Feb. 28, 2026, 1:14 a.m.