Triple
T24027057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gardiner, Egyptian Grammar |
E594991
|
entity |
| Predicate | hasInfluenceStatus |
P17546
|
FINISHED |
| Object | canonical work in Egyptology |
—
|
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: canonical work in Egyptology | Statement: [Gardiner, Egyptian Grammar, hasInfluenceStatus, canonical work in Egyptology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInfluenceStatus Context triple: [Gardiner, Egyptian Grammar, hasInfluenceStatus, canonical work in Egyptology]
-
A.
hasInfluentialStatus
chosen
Indicates that an entity holds a position, role, or condition that gives it significant influence or impact over others or over outcomes.
-
B.
hasInfluenceScope
Indicates the range or extent within which an entity’s influence, impact, or authority is effective or applicable.
-
C.
hasPossibleInfluence
Indicates that one entity may have an effect on, contribute to, or shape the state, behavior, or outcome of another entity, without asserting that this influence is definite or direct.
-
D.
hasSignificantInfluenceIn
Indicates that one entity exerts a substantial impact or shaping effect on another entity within a particular domain, context, or outcome.
-
E.
influencedIn
Indicates that one entity had an effect on or shaped another entity within a specific context, domain, or setting.
- 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_69e288be2c288190a3a46006945557f7 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d76c083c819090784ecb42effbae |
completed | April 29, 2026, 10:03 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:54 p.m.