Triple
T22541069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Anthony |
E557288
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Anthony |
E38636
|
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: Anthony | Statement: [Daniel Anthony, hasFamilyName, Anthony]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anthony Context triple: [Daniel Anthony, hasFamilyName, Anthony]
-
A.
Anthony
chosen
Anthony is a masculine given name of Latin origin, commonly used in English-speaking countries.
-
B.
Anthony
Anthony is the central protagonist of the television series "Crashing," around whom the show's narrative and character dynamics revolve.
-
C.
Anthony
Anthony is a surname most famously associated with Susan B. Anthony, a leading American suffragist and women’s rights activist.
-
D.
Alan
Alan is a masculine given name of Celtic origin that has been widely used in English-speaking countries.
-
E.
Alan
The Alans were an ancient nomadic Iranian-speaking people of the Eurasian steppes, known for their skilled horsemanship and significant role in the migrations that shaped late antiquity Europe.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f3251808190a72b849157854d8d |
completed | April 29, 2026, 1:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b1de5c3a8819094bd269d3097fc1b |
completed | May 18, 2026, 2:10 p.m. |
Created at: April 16, 2026, 8:51 p.m.