Triple
T3961419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Testing of Luther Albright |
E85911
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Harper |
E37141
|
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: Harper | Statement: [The Testing of Luther Albright, publisher, Harper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harper Context triple: [The Testing of Luther Albright, publisher, Harper]
-
A.
Harper
Harper is a small community located in Raleigh County, West Virginia, in the United States.
-
B.
Harper
chosen
Harper is a major American publishing house known for releasing a wide range of influential fiction and nonfiction works.
-
C.
Lovejoy
Lovejoy is a British television drama series about a roguish yet charming antiques dealer with a knack for spotting valuable items and getting into trouble.
-
D.
Harper Grace Burtka-Harris
Harper Grace Burtka-Harris is one of the fraternal twin children of actor Neil Patrick Harris and his husband, chef and actor David Burtka.
-
E.
Hazel
Hazel is a simple, good-hearted drifter in John Steinbeck’s novel "Cannery Row," known for his loyalty, comic misunderstandings, and unexpected moments of insight.
- 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_69aed93a96908190bcbdbfa718f155bd |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9617adc8190874b97a612fa7c72 |
completed | March 9, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533b8e00c819093af24f27eee793b |
completed | March 14, 2026, 10:08 a.m. |
Created at: March 9, 2026, 3:31 p.m.