Triple
T2318240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellis Island |
E51114
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Samuel Ellis |
E152514
|
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: Samuel Ellis | Statement: [Ellis Island, namedAfter, Samuel Ellis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samuel Ellis Context triple: [Ellis Island, namedAfter, Samuel Ellis]
-
A.
Samuel Ellis
chosen
Samuel Ellis was the landowner after whom Ellis Island in New York Harbor was named.
-
B.
Samuel Barnes
Samuel Barnes is an author known for his work with the Juicy brand.
-
C.
Samuel Allison
Samuel Allison was an American physicist known for his work on nuclear physics and his leadership role in the Manhattan Project at the University of Chicago’s Metallurgical Laboratory.
-
D.
Simeon Gannett Reed
Simeon Gannett Reed was an American businessman and philanthropist whose endowment led to the creation of Reed College in Portland, Oregon.
-
E.
Samuel Gray
Samuel Gray was one of the colonial civilians killed by British soldiers during the 1770 Boston Massacre, an event that helped fuel American revolutionary sentiment.
- 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_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc62fa60c8190b4859ce296ea4177 |
completed | March 7, 2026, 6:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf2c245c8190a426cfcdc929efeb |
completed | March 10, 2026, 5:42 a.m. |
Created at: March 4, 2026, 7:49 p.m.