Triple
T2891174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merrick Garland |
E63826
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Merrick |
unclear NED1
|
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: Merrick | Statement: [Merrick Garland, givenName, Merrick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Merrick Context triple: [Merrick Garland, givenName, Merrick]
-
A.
Merrick
Merrick is a prominent mountain in southwest Scotland, known as the highest peak in the Galloway Hills and a popular destination for hillwalkers.
-
B.
Merrick
Merrick is a suburban community on Long Island, New York, known as a residential area with commuter rail access to New York City.
-
C.
Merrick
"Merrick" is a horror novel by Tabitha King that explores dark family secrets and psychological terror in a small-town setting.
-
D.
Dunbar
Dunbar is a coastal town in East Lothian, Scotland, historically notable as the site of major battles including a key clash in the English Civil Wars.
-
E.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69ab4c45822c8190830c5f2bb97bcfd0 |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe05f98848190a33344fa780a3597 |
completed | March 7, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b03179d7448190bcdbea164856aaa2 |
completed | March 10, 2026, 2:58 p.m. |
Created at: March 6, 2026, 10:07 p.m.