Triple
T10457511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Liza |
E246583
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Good Machine |
E412287
|
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: Good Machine | Statement: [Love Liza, productionCompany, Good Machine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Good Machine Context triple: [Love Liza, productionCompany, Good Machine]
-
A.
Good Machine
chosen
Good Machine was an influential independent film production company known for backing acclaimed American art-house and international films in the 1990s.
-
B.
Bone Machine
"Bone Machine" is the opening track of the Pixies' influential 1988 album *Surfer Rosa*, known for its raw sound and surreal, fragmented lyrics.
-
C.
Bone Machine
Bone Machine is a critically acclaimed 1992 album by Tom Waits known for its dark, percussive sound and apocalyptic, death-obsessed themes.
-
D.
The Machine
The Machine is the nickname of Albert Pujols, a Dominican-American former Major League Baseball first baseman renowned for his remarkably consistent and powerful hitting.
-
E.
The Machine
The Machine is a powerful, clandestine artificial superintelligence from the TV series "Person of Interest" that predicts violent crimes by analyzing global surveillance data.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe4a56e08190ab56d762d6a91b01 |
completed | April 7, 2026, 12:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87f182cb481909f838d6d1dfa7e79 |
completed | April 10, 2026, 4:39 a.m. |
Created at: April 6, 2026, 12:18 p.m.