Triple
T29362394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galactic Empire |
E744624
|
entity |
| Predicate | predictedToFallBy |
P166680
|
FINISHED |
| Object | Hari Seldon |
—
|
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: Hari Seldon | Statement: [Galactic Empire, predictedToFallBy, Hari Seldon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predictedToFallBy Context triple: [Galactic Empire, predictedToFallBy, Hari Seldon]
-
A.
eventuallyFalls
Indicates that an entity, after some passage of time or sequence of events, comes to fall or collapse.
-
B.
canFall
Indicates that an entity has the potential or ability to fall or drop from a higher position to a lower one.
-
C.
fallsFrom
Indicates that one entity moves downward or drops starting from the location or position of another entity.
-
D.
fallsDownBefore
Indicates that one event or entity moves downward or collapses prior in time to another specified event or entity.
-
E.
distanceFallen
Indicates the amount of vertical distance an object has moved downward from its starting point due to falling.
- 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_69f0a79aee588190b490f19d93c6e52d |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f669894f608190941fed17608d9c2e |
completed | May 2, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69f660f4f7a88190b93c60d76b86c912 |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f661b47d088190934f63884a203261 |
completed | May 2, 2026, 8:42 p.m. |
Created at: April 28, 2026, 2:19 p.m.