Triple
T7581331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Run-Through |
E179493
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Run-Through |
E179493
|
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: Run-Through | Statement: [Run-Through, title, Run-Through]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Run-Through Context triple: [Run-Through, title, Run-Through]
-
A.
Run-Through
chosen
Run-Through is an autobiographical memoir by actor and producer John Houseman, recounting his early life and career in theater and film.
-
B.
Running on Empty
Running on Empty is a 1977 live concept album by Jackson Browne that chronicles life on the road through songs recorded in concert venues, hotel rooms, and tour buses.
-
C.
Running on Empty
Running on Empty is a 1988 American drama film about a family of former antiwar radicals living on the run, directed by Sidney Lumet and acclaimed for its emotional depth and performances.
-
D.
Deep Run
Deep Run is a significant tributary stream feeding into Maryland’s Patapsco River, contributing to its watershed and regional drainage system.
-
E.
Deep Run
Deep Run is a stream in central Maryland that serves as a tributary of the Little Patuxent River within the Chesapeake Bay watershed.
- 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_69c69f327db881909a21ae3b156f8ded |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f97717048190b0ca1a74ed8a817e |
completed | March 27, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8617b8934819094f596e6a037e468 |
completed | March 28, 2026, 11:17 p.m. |
Created at: March 27, 2026, 3:52 p.m.