Triple
T38659542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mack Mackenzie |
E939990
|
entity |
| Predicate | isOneOfFewBlackStudentsAt |
P34479
|
FINISHED |
| Object | Lawndale High School |
—
|
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: Lawndale High School | Statement: [Mack Mackenzie, isOneOfFewBlackStudentsAt, Lawndale High School]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOneOfFewBlackStudentsAt Context triple: [Mack Mackenzie, isOneOfFewBlackStudentsAt, Lawndale High School]
-
A.
oneOfFewIn
Indicates that an entity is one among a small, limited number of entities that are in or belong to a specified set, group, or context.
-
B.
oneOfFewFriendlyClassmatesOf
Indicates that the subject is among a small number of classmates who are friendly toward the object.
-
C.
oneOfFew
chosen
Indicates that the subject is one member of a small, limited set of entities that share a specified property or role.
-
D.
isHBCU
Indicates that an educational institution is recognized as a Historically Black College or University (HBCU).
-
E.
hasDiverseStudentBody
Indicates that an educational institution’s student population includes a wide range of backgrounds, characteristics, or identities.
- 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_69f76ede49648190a48bfe47032a05a3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fce545fec881909247a3af821d21ae |
completed | May 7, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69fce12eaeec81908cf81346b2cef6e0 |
completed | May 7, 2026, 6:59 p.m. |
Created at: May 3, 2026, 4:33 p.m.