Triple
T35020850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aliens of London |
E1010189
|
entity |
| Predicate | mainCompanion |
P193150
|
FINISHED |
| Object | Rose Tyler |
—
|
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: Rose Tyler | Statement: [Aliens of London, mainCompanion, Rose Tyler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainCompanion Context triple: [Aliens of London, mainCompanion, Rose Tyler]
-
A.
mainHelper
Indicates that one entity serves as the primary assistant or supporting agent to another in performing a task or function.
-
B.
mainFunctions
Indicates that the subject serves as the primary or central functional component or role for the object.
-
C.
mainStartingPoint
Indicates the primary location or position from which an event, process, or path begins.
-
D.
mainSingle
Indicates that an entity is the primary or sole main instance among a set of related entities.
-
E.
mainEntranceOn
Indicates that the primary entrance of one entity is located on or faces toward another entity, such as a particular side, street, or boundary.
- F. None of above. chosen
Provenance (4 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_69fd389cb28c819099a77e28d25f258a |
completed | May 8, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69fd3826d8048190ada79a5868d1d7f3 |
completed | May 8, 2026, 1:11 a.m. |
| PDg | Predicate description generation | batch_69fd389b653c81908a97ab2eff98c6ea |
completed | May 8, 2026, 1:12 a.m. |
Created at: May 3, 2026, 4:01 p.m.