Triple
T19995214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Showings |
E494174
|
entity |
| Predicate | longTextCharacteristic |
P134574
|
FINISHED |
| Object | expanded theological reflection |
—
|
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: expanded theological reflection | Statement: [Showings, longTextCharacteristic, expanded theological reflection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: longTextCharacteristic Context triple: [Showings, longTextCharacteristic, expanded theological reflection]
-
A.
longType
Indicates that something has a length-related classification or is characterized by being of extended duration or distance.
-
B.
longRunningCharacter
Indicates that a character persists or appears over a long duration, such as across many episodes, issues, or installments in a series.
-
C.
length
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
D.
contentCharacterization
chosen
Indicates that one entity characterizes, describes, or classifies the content or informational nature of another entity.
-
E.
textCharacter
Indicates that one entity is a character (such as a letter, digit, or symbol) within a piece of text associated with 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe3fb288190a935c334e8a5d54e |
completed | April 20, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69e537fd311881908448f2aea8b4812e |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 11, 2026, 3:31 p.m.