Triple
T29228046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skyfall estate |
E740986
|
entity |
| Predicate | linkedToBackstoryOf |
P102058
|
FINISHED |
| Object | James Bond’s childhood |
—
|
LITERAL 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: James Bond’s childhood | Statement: [Skyfall estate, linkedToBackstoryOf, James Bond’s childhood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedToBackstoryOf Context triple: [Skyfall estate, linkedToBackstoryOf, James Bond’s childhood]
-
A.
expandsBackstoryOf
Indicates that one entity provides additional background details or context that elaborate on the history or origins of another entity.
-
B.
hasKeyFigureInBackstory
Indicates that an entity’s background narrative prominently features a particular individual who significantly influences or shapes that backstory.
-
C.
hasFictionalBackstory
Indicates that an entity is associated with an invented or imaginary narrative background rather than a real-world history.
-
D.
backstoryConsequence
Indicates that one event or situation occurs as a direct result or outcome of a character’s or entity’s prior history or background.
-
E.
associatedTale
chosen
Indicates that one entity is linked or connected to a particular tale, story, or narrative.
- 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_69f07cbb12bc81908c1971d9de9a8d2a |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
Created at: April 28, 2026, 12:17 p.m.