Triple
T37170418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | church in Philemon’s house |
E920892
|
entity |
| Predicate | greetedBy |
P161204
|
FINISHED |
| Object | Paul the Apostle |
—
|
NE NERFINISHED |
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: Paul the Apostle | Statement: [church in Philemon’s house, greetedBy, Paul the Apostle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: greetedBy Context triple: [church in Philemon’s house, greetedBy, Paul the Apostle]
-
A.
typicalGreeting
Indicates the standard or commonly used way one entity greets another in a given context.
-
B.
languageOfGreeting
Indicates that one entity is the language used to express a particular greeting or salutation.
-
C.
openingGreetingFrom
Indicates that one entity initiates an interaction by sending or expressing an initial greeting to another entity.
-
D.
welcomesAs
chosen
Indicates that one entity receives or greets another in a friendly or accepting manner, often marking the start of an interaction or inclusion.
-
E.
helloMessageName
Indicates the name or identifier associated with a greeting or “hello” message.
- 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_69f76ea16f288190b445aa1604d996f4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.