Triple
T15884834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dave Krinsky |
E385164
|
entity |
| Predicate | workOn |
P30363
|
FINISHED |
| Object | Extract |
E81056
|
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: Extract | Statement: [Dave Krinsky, workOn, Extract]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Extract Context triple: [Dave Krinsky, workOn, Extract]
-
A.
Extract
chosen
Extract is a 2009 comedy film written and directed by Mike Judge that satirizes workplace and personal frustrations at a flavor-extract factory.
-
B.
Extraction
Extraction is a 2020 action thriller film starring Chris Hemsworth as a black ops mercenary on a dangerous rescue mission in Bangladesh.
-
C.
Extricate
"Extricate" is a 1990 studio album by the English post-punk band The Fall, noted for its sharp songwriting and transitional sound following major lineup changes.
-
D.
Cut-Out
"Cut-Out" is a song by the American indie rock band Grizzly Bear from their 2017 album *Painted Ruins*.
-
E.
Scream Extractor
The Scream Extractor is a sinister machine from Pixar's Monsters, Inc. designed to forcibly harvest screams from children as an energy source.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1561997bc8190a40e7d68defbbddd |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa95651f88190a9aac72a667b999f |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:51 a.m.