Triple
T9588021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angels Camp |
E231340
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Henry Angel |
E231340
|
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: Henry Angel | Statement: [Angels Camp, namedAfter, Henry Angel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Angel Context triple: [Angels Camp, namedAfter, Henry Angel]
-
A.
Henry Angel
chosen
Henry Angel was a 19th-century prospector and early settler after whom the California town of Angels Camp was named.
-
B.
Edward Pryse
Edward Pryse was a 19th-century Welsh Liberal politician and landowner who represented Cardiganshire in Parliament and held prominent local offices.
-
C.
Lou Barle
Lou Barle was a professional basketball player best known for his time with the early National Basketball League team the Oshkosh All-Stars.
-
D.
Antony Firingee
Antony Firingee is a 1967 Bengali biographical musical drama film starring Uttam Kumar as a Portuguese-born poet who embraces Bengali culture and faces social opposition.
-
E.
Anthony Skingsley
Anthony Skingsley was a senior Royal Air Force officer who rose to high command during the late 20th century, overseeing key aspects of the UK's air defense.
- 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_69ca848161688190a68d514a0a9d5129 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99f01ca08190afaa44645a58e918 |
completed | April 1, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1618251c48190886190975dfde5ac |
completed | April 4, 2026, 7:07 p.m. |
Created at: March 30, 2026, 8:06 p.m.