Triple
T14364229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merrick Garland |
E356185
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Rebecca Garland |
E356185
|
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: Rebecca Garland | Statement: [Merrick Garland, child, Rebecca Garland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rebecca Garland Context triple: [Merrick Garland, child, Rebecca Garland]
-
A.
Rebecca Garland
chosen
Rebecca Garland is one of the children of Merrick Garland, the U.S. Attorney General and former federal judge.
-
B.
Rebecca Rigg
Rebecca Rigg is an Australian actress known for her work in film and television and for her long-term marriage to actor Simon Baker.
-
C.
Rebecca Griffiths
Rebecca Griffiths is an actress known for her role in the acclaimed British drama film "Fish Tank."
-
D.
Rebecca Howe
Rebecca Howe is a fictional character on the sitcom "Cheers," known as the ambitious and often neurotic bar manager who replaces Diane Chambers.
-
E.
Rebecca Vest
Rebecca Vest is known as the wife of the late Charles M. Vest, the former president of the Massachusetts Institute of Technology.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fad48748190a0f34ca4d02f9a3c |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe729c439481909dac86ed6f5d6411 |
completed | May 8, 2026, 11:32 p.m. |
Created at: April 10, 2026, 1:15 a.m.