Triple
T7536448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WGBH Boston |
E178162
|
entity |
| Predicate | producedProgram |
P44733
|
FINISHED |
| Object | NOVA |
E178641
|
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: NOVA | Statement: [WGBH Boston, producedProgram, NOVA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NOVA Context triple: [WGBH Boston, producedProgram, NOVA]
-
A.
NOVA
NOVA is a public research university in Lisbon, Portugal, known for its multidisciplinary programs and international outlook.
-
B.
NOVA
NOVA is the commonly used abbreviation for Northern Virginia Community College, a large public community college serving the Northern Virginia region.
-
C.
NOVA ScienceNow
NOVA ScienceNow is a television science newsmagazine series that explores cutting-edge developments in science and technology, notably hosted for several seasons by astrophysicist Neil deGrasse Tyson.
-
D.
television series Nova
chosen
Nova is a long-running American science documentary television series produced by PBS that explores a wide range of scientific topics for a general audience.
-
E.
Science Channel
Science Channel is an American cable television network focused on science, technology, space, and exploration programming.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f84db0c48190b2b3d8c5f802f713 |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f0c02148190bb5f63cf9891ec0c |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:48 p.m.