Triple
T3613249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Trapezoid of Terror |
E76537
|
entity |
| Predicate | homeRecordReputation |
P36019
|
FINISHED |
| Object | strong home winning percentage for Rutgers |
—
|
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: strong home winning percentage for Rutgers | Statement: [The Trapezoid of Terror, homeRecordReputation, strong home winning percentage for Rutgers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeRecordReputation Context triple: [The Trapezoid of Terror, homeRecordReputation, strong home winning percentage for Rutgers]
-
A.
homeAtmosphereReputation
Indicates the perceived quality or character of the atmosphere or environment associated with a particular home.
-
B.
securityReputation
Indicates the assessed trustworthiness or risk level associated with an entity’s security posture or behavior.
-
C.
performanceReputation
chosen
Indicates the perceived quality or reliability of an entity’s past or expected performance as judged by others.
-
D.
handlingReputation
Indicates that one entity manages, influences, or is responsible for maintaining the reputation or public perception of another entity.
-
E.
hasBureau
Indicates that an entity is associated with or possesses a specific bureau, such as an office, department, or administrative unit.
- 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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2786f808190be4e42734a79d74e |
completed | March 8, 2026, 6:39 p.m. |
| PD | Predicate disambiguation | batch_69adb83d8b1c8190b3bddbc5dc995a87 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:23 p.m.