Triple
T4961970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Held |
E111429
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Al Held |
E111429
|
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: Al Held | Statement: [Al Held, fullName, Al Held]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Held Context triple: [Al Held, fullName, Al Held]
-
A.
Al Held
chosen
Al Held was an American abstract painter known for his large-scale, hard-edged geometric compositions that explored space, depth, and perception.
-
B.
James Trombly
James Trombly is an author known for writing Western-themed works centered on cowboy life and culture.
-
C.
Herb Ryman
Herb Ryman was an American artist and Disney Imagineer best known for his influential concept art and designs that helped shape the look and feel of Disneyland and other Disney theme parks.
-
D.
Ed Dorn
Ed Dorn was an American poet associated with the Black Mountain school, known for his incisive, often politically charged verse and his long poem "Gunslinger."
-
E.
Harry Kurnitz
Harry Kurnitz was an American playwright, novelist, and screenwriter known for his witty crime and mystery scripts in mid-20th-century Hollywood.
- 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_69bd4419393c819086319a6fe4bf8542 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71dc06a48190827d54a5c0351aab |
completed | March 20, 2026, 4:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81ea8cc08190af40098ca99364f1 |
completed | March 21, 2026, 11:32 a.m. |
Created at: March 20, 2026, 1:32 p.m.