Triple
T21712782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Israel Angell |
E535945
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Angell |
—
|
NE NERFINISHED |
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: Angell | Statement: [Israel Angell, familyName, Angell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angell Context triple: [Israel Angell, familyName, Angell]
-
A.
Angell
chosen
Angell is a surname most notably associated with American television producer and writer David Angell, known for his work on hit sitcoms such as "Cheers" and "Frasier."
-
B.
Angell
Angell is the namesake of Cobb Track and Angell Field, likely a significant benefactor or figure associated with the institution that owns the facility.
-
C.
Shep
Shep is the station code used to identify Sheppard–Yonge station in the Toronto subway system.
-
D.
Shep
Shep is a central, brooding former basketball star in the 1994 sports drama film "Above the Rim," known for his troubled past and mentorship of the young protagonist.
-
E.
Cujo (dog)
Cujo (dog) is the rabid Saint Bernard and terrifying title character of Stephen King’s horror novel "Cujo."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb53573a08190ad73576d27e8094f |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 16, 2026, 6:47 p.m.