Triple
T33536259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Savannah Meades |
E858941
|
entity |
| Predicate | socialStatusAffectedBy |
P102427
|
FINISHED |
| Object |
B-Bot chaos
B-Bot chaos refers to the widespread social disruption and turmoil caused by malfunctioning or unpredictable B-Bot robots in the story’s setting.
|
E2055554
|
NE FINISHED |
How this triple was built (3 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: B-Bot chaos | Statement: [Savannah Meades, socialStatusAffectedBy, B-Bot chaos]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: B-Bot chaos Triple: [Savannah Meades, socialStatusAffectedBy, B-Bot chaos]
Generated description
B-Bot chaos refers to the widespread social disruption and turmoil caused by malfunctioning or unpredictable B-Bot robots in the story’s setting.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialStatusAffectedBy Context triple: [Savannah Meades, socialStatusAffectedBy, B-Bot chaos]
-
A.
socialStatusOrigin
Indicates the source or basis from which an entity’s social status is derived or determined.
-
B.
hasSocialInfluenceThrough
Indicates that one entity exerts social influence on another specifically by means of an intermediary channel, platform, or relationship.
-
C.
socialImpact
Indicates the extent to which an action, entity, or relationship affects society or communities, whether positively or negatively.
-
D.
subjectSocialStatus
Indicates the social standing or rank that the subject holds within a society or group.
-
E.
standAffected
chosen
Indicates that an entity is in a state or position of being impacted or influenced by another entity or event.
- F. None of above.
Provenance (6 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_69f34978caf4819083f90eba4944d8e8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a35a682f20081908393f329976e0667 |
completed | June 19, 2026, 8:28 p.m. |
| NEDg | Description generation | batch_6a35a74328cc81909b143d49463f4588 |
completed | June 19, 2026, 8:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a35a7b4ea908190b56ce58460ee569b |
completed | June 19, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 1, 2026, 1:39 a.m.