Triple
T25157280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Locks |
E626348
|
entity |
| Predicate | intertwinesWith |
P38166
|
FINISHED |
| Object | Goldilocks and the Three Bears |
—
|
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: Goldilocks and the Three Bears | Statement: [Locks, intertwinesWith, Goldilocks and the Three Bears]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intertwinesWith Context triple: [Locks, intertwinesWith, Goldilocks and the Three Bears]
-
A.
entangledWith
chosen
Indicates a mutual state in which two or more entities are so interconnected that a change or condition in one inherently affects or constrains the other(s).
-
B.
tieInWith
Indicates that one thing is connected, coordinated, or made consistent with another, often as part of a combined plan, theme, or schedule.
-
C.
canBeEntangledIn
Indicates that one entity is capable of becoming physically or conceptually caught, intertwined, or ensnared within another entity or situation.
-
D.
actedTogetherWith
Indicates that two entities participated in the same performance or production, collaborating or appearing together in an acting context.
-
E.
crossedWith
Indicates that one entity has moved from one side of another entity or boundary to the opposite side, typically by passing over or through it.
- 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_69e2ff2834ec8190b0872e2ec3d76023 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f5ffc74fa481909b4fe24a9337f9eb |
completed | May 2, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7f99dc08190afcfb3bc4dfbec1d |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 18, 2026, 6:30 a.m.