Triple
T14014959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swaecation |
E337179
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Lost Angels |
E735521
|
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: Lost Angels | Statement: [Swaecation, hasPart, Lost Angels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lost Angels Context triple: [Swaecation, hasPart, Lost Angels]
-
A.
Lost Angels
chosen
Lost Angels is a 1989 American drama film directed by Hugh Hudson that explores the troubled life of a rebellious teenager sent to a psychiatric hospital in Los Angeles.
-
B.
Better Angels
Better Angels is a song featured on the self-titled release "Self-Titled."
-
C.
Fallen Angel
Fallen Angel is a 1945 American film noir crime drama directed by Otto Preminger, known for its atmospheric style and intricate plot involving murder and deception.
-
D.
Rage of Angels
Rage of Angels is a bestselling legal thriller novel by Sidney Sheldon that follows the tumultuous career and personal life of an ambitious young attorney.
-
E.
Lady of the Angels
Lady of the Angels is a Marian title that honors the Virgin Mary as the queen and protector of the angelic hosts.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f396b648190927e5718c3bb6511 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbacac12608190a5e3d970ec3cda45 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:19 p.m.