Triple
T9113354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holliday Grainger |
E218659
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Grainger |
E493292
|
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: Grainger | Statement: [Holliday Grainger, familyName, Grainger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grainger Context triple: [Holliday Grainger, familyName, Grainger]
-
A.
Grainger
chosen
Grainger is a surname most notably associated with William W. Grainger, the founder of the industrial supply company W.W. Grainger, Inc.
-
B.
Trumbauer
Trumbauer is a surname most notably associated with American architect Horace Trumbauer, known for his grand Gilded Age mansions and institutional buildings.
-
C.
Deering
Deering is a small Inupiat community and city located on the Seward Peninsula in northwestern Alaska.
-
D.
Gillett
Gillett is an English-language surname borne by various notable individuals across politics, sports, and the arts.
-
E.
Longy
Longy was the nickname of Abner "Longy" Zwillman, a prominent American Jewish mobster and bootlegger active during Prohibition and mid-20th-century organized crime.
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca84b0a048190964f560f78e27cce |
completed | April 1, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0305eb6e081908edba0ddab25e209 |
completed | April 3, 2026, 9:25 p.m. |
Created at: March 30, 2026, 7:16 p.m.