Triple
T3829983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Time of Angels |
E90986
|
entity |
| Predicate | featuresSpecies |
P7733
|
FINISHED |
| Object | Weeping Angel |
E15447
|
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: Weeping Angel | Statement: [The Time of Angels, featuresSpecies, Weeping Angel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weeping Angel Context triple: [The Time of Angels, featuresSpecies, Weeping Angel]
-
A.
Weeping Angels
chosen
The Weeping Angels are a terrifying race of predatory, statue-like creatures in Doctor Who that can only move when unobserved, sending victims back in time and feeding on the resulting temporal energy.
-
B.
Wraith
Wraith is a horror comic series by Joe Hill that expands on the sinister world and characters of his novel "NOS4A2."
-
C.
Ghast
A Ghast is a large, floating, ghost-like hostile mob in Minecraft’s Nether dimension that shoots explosive fireballs and emits eerie cries.
-
D.
Angel of Death
Angel of Death is a thriller novel by Jack Higgins that follows covert operatives confronting a deadly terrorist organization in modern-day Britain.
-
E.
Lurch
Lurch is the towering, gloomy butler of the eccentric Addams Family, known for his deep voice, slow movements, and deadpan demeanor.
- 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_69aed960b538819096561c8ed448dec9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb8459f881908a2c91bb07e381ef |
completed | March 9, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b503fcddb481909690b708754d3d8a |
completed | March 14, 2026, 6:45 a.m. |
Created at: March 9, 2026, 3:17 p.m.