Triple
T15977707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allsafe Cybersecurity |
E387490
|
entity |
| Predicate | roleOfElliotAlderson |
P121135
|
FINISHED |
| Object | security engineer |
—
|
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: security engineer | Statement: [Allsafe Cybersecurity, roleOfElliotAlderson, security engineer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfElliotAlderson Context triple: [Allsafe Cybersecurity, roleOfElliotAlderson, security engineer]
-
A.
roleInWatchmen
Indicates that one entity has a specific role or function within the context of the work "Watchmen" in relation to the other entity.
-
B.
John ClarkRole
Indicates that John holds or performs the role, position, or function specified by the associated entity or label.
-
C.
roleInElysium
Indicates that an entity holds a specific role, position, or function within the context of Elysium.
-
D.
roleInAlienCovenant
Indicates that an entity has a role or participation in the film "Alien: Covenant."
-
E.
roleInSyriana
Indicates that one entity has a specific role or involvement in the context of "Syriana," such as participation, function, or contribution related to it.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d9d8e881909b559a3e3ca21d24 |
completed | April 16, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69e17d48cc9c8190b03fd07ae2e9dfd8 |
completed | April 17, 2026, 12:22 a.m. |
Created at: April 10, 2026, 4:54 a.m.