Triple
T35118323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Father |
E1014102
|
entity |
| Predicate | oneOfSeven |
P182570
|
FINISHED |
| Object | Father |
—
|
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: Father | Statement: [the Father, oneOfSeven, Father]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfSeven Context triple: [the Father, oneOfSeven, Father]
-
A.
sevensSide
Indicates that one entity is on the side associated with the number seven relative to another entity or reference frame.
-
B.
oneOfNine
Indicates that the subject is exactly one member of a specific group or set containing nine distinct options.
-
C.
namedBySeven
Indicates that an entity is given or assigned a name that is specifically associated with the number seven.
-
D.
seventhVolume
Indicates that one entity is the seventh volume in a sequential series or collection associated with another entity.
-
E.
LuckySevenPredecessorGame
Indicates a game-related relationship where one entity is the immediate predecessor of another in a sequence or state transition specifically associated with a "lucky seven" condition or rule.
- F. None of above. chosen
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_69f76dd8b6948190aaa32b081816bd94 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7904a770481908ef3f788e51e8dba |
completed | May 3, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69f78f629d508190b755848162c4e101 |
completed | May 3, 2026, 6:09 p.m. |
Created at: May 3, 2026, 4:01 p.m.