Triple
T16107910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keith Calder |
E390787
|
entity |
| Predicate | produced |
P490
|
FINISHED |
| Object | Faults |
E1194363
|
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: Faults | Statement: [Keith Calder, produced, Faults]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faults Context triple: [Keith Calder, produced, Faults]
-
A.
Faults
chosen
Faults is a 2014 darkly comedic psychological thriller film about a cult deprogrammer whose latest case spirals into a disturbing power struggle.
-
B.
To a Fault
To a Fault is a poetry collection by Northern Irish writer Nick Laird that helped establish his reputation for sharp, contemporary verse exploring identity, politics, and personal relationships.
-
C.
Aftershocks
"Aftershocks" is a song by musician Dan Goodman, likely featuring his characteristic rock-influenced style and emotive songwriting.
-
D.
Aftershocks
"Aftershocks" is a song by singer-songwriter Gabe Goodman, showcasing his introspective indie style and emotive lyricism.
-
E.
The Faultline
The Faultline is an organized supporters' group known for passionately backing Major League Soccer club San Jose Earthquakes with coordinated chants, displays, and matchday atmosphere.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6e55c08190b77f344e4e8c42ad |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2a16acc8190be9ed181c7a44def |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5 a.m.