Triple
T31014777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidential Decrees of the Philippines |
E790298
|
entity |
| Predicate | firstMajorUser |
P121961
|
FINISHED |
| Object | President Ferdinand E. Marcos |
E97283
|
NE 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: President Ferdinand E. Marcos | Statement: [Presidential Decrees of the Philippines, firstMajorUser, President Ferdinand E. Marcos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMajorUser Context triple: [Presidential Decrees of the Philippines, firstMajorUser, President Ferdinand E. Marcos]
-
A.
majorUser
Indicates that one user holds a primary, leading, or most significant role or status relative to other users in a given context.
-
B.
primaryUser
Indicates that the referenced user is the main or principal user associated with a given account, resource, or context.
-
C.
firstMajorDescription
Indicates that the object is the primary or earliest major field of study associated with the subject.
-
D.
firstMajorSuccess
Indicates that an entity represents the earliest significant achievement or breakthrough in another entity’s career, activity, or development.
-
E.
firstMember
chosen
Indicates that one entity is the first member or element in an ordered collection or group relative to the others.
- F. None of above.
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_69f224c73ca48190a1e46cb58ad4045b |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a035ead9ee0819099806d2670dc9c50 |
completed | May 12, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a29389bd3c481908f4fb8aa78a033ca |
completed | June 10, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_6a035dc9210c8190a9044c6a53211520 |
completed | May 12, 2026, 5:05 p.m. |
Created at: April 29, 2026, 8:57 p.m.