Triple
T4029242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Untempered Schism |
E83665
|
entity |
| Predicate | impactOnTimeLords |
P53534
|
FINISHED |
| Object | influences moral and psychological development |
—
|
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: influences moral and psychological development | Statement: [Untempered Schism, impactOnTimeLords, influences moral and psychological development]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnTimeLords Context triple: [Untempered Schism, impactOnTimeLords, influences moral and psychological development]
-
A.
lordOf
Indicates that one entity holds lordship, authority, or dominion over another entity.
-
B.
timeLordSocietyStatus
Indicates the social rank or standing an individual holds within Time Lord society.
-
C.
historicalStronghold
Indicates that a location has historically served as a fortified center of power, defense, or control for a group or authority.
-
D.
impactOnLeader
Indicates that one entity has an effect, influence, or consequence on a leader within a given context.
-
E.
timeInMyth
Indicates that an entity exists or occurs during a specific time period within a mythological narrative or tradition.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaf066b08190afbb4a18ddc8d67e |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fe440c819093a7fa22c4ff3f1a |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefa815f2c8190818c9ffd9d1bf478 |
completed | March 9, 2026, 4:51 p.m. |
Created at: March 9, 2026, 3:36 p.m.