Triple
T35705839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milo Rambaldi |
E1031714
|
entity |
| Predicate | inUniverseInfluenceOn |
P173356
|
FINISHED |
| Object | Sydney Bristow |
—
|
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: Sydney Bristow | Statement: [Milo Rambaldi, inUniverseInfluenceOn, Sydney Bristow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inUniverseInfluenceOn Context triple: [Milo Rambaldi, inUniverseInfluenceOn, Sydney Bristow]
-
A.
inUniverseSignificance
Indicates that something holds particular importance, impact, or relevance within the fictional universe or narrative world it belongs to.
-
B.
influenceOf
chosen
Indicates that one entity affects, shapes, or alters the state, behavior, or properties of another entity.
-
C.
incorporatesInfluence
Indicates that one entity integrates or absorbs the influence, ideas, or characteristics of another into itself.
-
D.
exploresInfluence
Indicates that one entity investigates, examines, or analyzes the impact or effect that another entity has.
-
E.
inUniverseConsequence
Indicates that one event, action, or state leads to a resulting effect or outcome within the same fictional or defined universe.
- 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_69f76e0d393c8190b6303c64408736db |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
Created at: May 3, 2026, 4:05 p.m.