Triple
T17619715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hilda Little |
E429675
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Earl Lee Little Jr. |
—
|
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: Earl Lee Little Jr. | Statement: [Hilda Little, sibling, Earl Lee Little Jr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Earl Lee Little Jr. Context triple: [Hilda Little, sibling, Earl Lee Little Jr.]
-
A.
Earl Little
chosen
Earl Little was an African American Baptist minister and outspoken supporter of Marcus Garvey whose activism and mysterious death profoundly influenced the early life of his son, Malcolm X.
-
B.
Earl Richey Jones
Earl Richey Jones is a screenwriter best known for co-writing the 1999 science fiction comedy film "Galaxy Quest."
-
C.
Tommie Earl Jenkins
Tommie Earl Jenkins is an American actor and voice actor best known for his performance as Die-Hardman in the video game Death Stranding.
-
D.
Lonnie Fuller
Lonnie Fuller is an individual notable enough to be specifically recognized as a bearer of the surname Fuller.
-
E.
Leroy Johnson
Leroy Johnson is the ambitious and talented performing arts student who serves as one of the central protagonists in the television series "Fame."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d3547d88190ae3c9ffed63133c9 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 5:51 a.m.