Triple
T331626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | God |
E6636
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Father |
E9363
|
NE 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: [God, hasTitle, Father]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Father Context triple: [God, hasTitle, Father]
-
A.
the Father
chosen
The Father is the first person of the Christian Trinity, traditionally understood as the eternal, unbegotten source of the Son and the Holy Spirit.
-
B.
Uncle Joe
Uncle Joe is a colloquial nickname for Joseph Stalin, the Soviet dictator who led the USSR through World War II and oversaw widespread political repression.
-
C.
Jack Ramsay
Jack Ramsay was a Hall of Fame NBA head coach best known for leading the Portland Trail Blazers to their 1977 championship and for his long, influential career in professional basketball.
-
D.
Willy
Willy is a common diminutive form of the given name William, often used as an informal or affectionate nickname.
-
E.
MAN
MAN is a German commercial vehicle and engineering company best known for manufacturing trucks, buses, and diesel engines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eaafd1a48190a6d001af3c2a5318 |
completed | Feb. 28, 2026, 1:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3cff25c60819090efef98f76675f4 |
completed | March 1, 2026, 5:34 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.