Triple
T35020844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aliens of London |
E1010189
|
entity |
| Predicate | isFirstOfTwoParterWith |
P152626
|
FINISHED |
| Object | World War Three |
—
|
NE NERFINISHED |
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: World War Three | Statement: [Aliens of London, isFirstOfTwoParterWith, World War Three]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFirstOfTwoParterWith Context triple: [Aliens of London, isFirstOfTwoParterWith, World War Three]
-
A.
hasFirstPart
chosen
Indicates that one entity is the initial or earliest part, segment, or component of another entity in an ordered whole.
-
B.
isSecondFilmInSeries
Indicates that a film is the second installment in a particular film series or franchise.
-
C.
isFirstVolumeOf
Indicates that one item is the initial volume in a multi-volume work or series.
-
D.
wasFirstOf
Indicates that the subject is the earliest or initial instance in a series, sequence, or group of similar entities or events.
-
E.
hasPart1Code
Indicates that an entity includes or is associated with a specific part identified by a particular code.
- F. None of above.
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_69f76dcc3ac8819096a3ed52f5fa2523 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7858aa5508190a07dde993b3356fc |
completed | May 3, 2026, 5:27 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.