Triple
T5419729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl Little |
E121216
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Robert Little |
E429676
|
NE 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: Robert Little | Statement: [Earl Little, relative, Robert Little]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Little Context triple: [Earl Little, relative, Robert Little]
-
A.
Robert Little
Robert Little was a distinguished Australian fighter ace of World War I who became one of the highest-scoring pilots in British service.
-
B.
Robert Little
chosen
Robert Little was one of the children of Louise Little, the mother of civil rights leader Malcolm X.
-
C.
Colin Salmon
Colin Salmon is a British actor best known for his roles in the James Bond film series, the Resident Evil franchise, and various television dramas.
-
D.
John Brierley
John Brierley is the real-life Australian man whose childhood journey from India to adoption and later search for his birth family inspired the book and film "Lion."
-
E.
William Atherton
William Atherton is an American character actor best known for playing arrogant and antagonistic authority figures in films such as Ghostbusters and Die Hard.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87e8f1cc81908b997f8a417697c0 |
completed | March 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf4123bab881908379e7612d5b39b9 |
completed | March 22, 2026, 1:08 a.m. |
Created at: March 20, 2026, 2:05 p.m.