Triple
T1948915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CMC Chairman |
E42115
|
entity |
| Predicate | isOftenAddressedAs |
P743
|
FINISHED |
| Object | Chairman of the CMC |
—
|
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: Chairman of the CMC | Statement: [CMC Chairman, isOftenAddressedAs, Chairman of the CMC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOftenAddressedAs Context triple: [CMC Chairman, isOftenAddressedAs, Chairman of the CMC]
-
A.
honorificNickname
chosen
Indicates that one entity is referred to by a respectful or honorific nickname by another entity or in a given context.
-
B.
isFrequentlyDescribedAs
Indicates that something is often characterized or referred to using a particular description or set of attributes.
-
C.
givenNameFor
Indicates that one entity is the personal first name assigned to or used for another entity.
-
D.
oftenBroadcastAs
Indicates that something is frequently transmitted or aired through a broadcast medium under a particular form, title, or version.
-
E.
alsoKnownAs
Indicates that one entity is an alternative name, alias, or designation for another entity.
- 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_69a8870e08fc8190a319cbf2600db15f |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3315df481908f60cd87453fbc03 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abaff25a588190bb4cbc8df9fc6d64 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.