Triple
T3098942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reuben |
E64667
|
entity |
| Predicate | lostRight |
P20740
|
FINISHED |
| Object | birthright of the firstborn |
—
|
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: birthright of the firstborn | Statement: [Reuben, lostRight, birthright of the firstborn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lostRight Context triple: [Reuben, lostRight, birthright of the firstborn]
-
A.
lost
chosen
Indicates that an entity no longer possesses or has been deprived of another entity it previously had.
-
B.
lostWith
Indicates that one entity experienced a loss or defeat in conjunction with, or as part of the same side/team as, another entity.
-
C.
loserStatus
Indicates that an entity has been judged or designated as the loser in a particular comparison, contest, or evaluative context.
-
D.
lostTo
Indicates that one entity was defeated by another in a competition, conflict, or comparison.
-
E.
loserPoints
Indicates the number of points awarded to or accumulated by the losing side in a competitive event or comparison.
- 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_69ad857dc98481909e585dc3372e3ed5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada269a9188190aada5b3799d4dfd7 |
completed | March 8, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69ad9df06ed88190809f0683122caa5a |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:03 p.m.