Triple
T33755023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beautiful Liar (Spanish Version) |
E864952
|
entity |
| Predicate | sharesProductionWith |
P144116
|
FINISHED |
| Object | Beautiful Liar |
—
|
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: Beautiful Liar | Statement: [Beautiful Liar (Spanish Version), sharesProductionWith, Beautiful Liar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesProductionWith Context triple: [Beautiful Liar (Spanish Version), sharesProductionWith, Beautiful Liar]
-
A.
sharesWith
Indicates that one entity gives another entity access to or use of something it possesses.
-
B.
sharesUniverseWith
Indicates that two entities exist within the same fictional or narrative universe, implying shared continuity, setting, or canon.
-
C.
sharesProductionTeamWith
chosen
Indicates that two entities are produced or created by at least one of the same production team members or organizations.
-
D.
sharesIn
Indicates that one entity holds or possesses shares or ownership stakes in another entity.
-
E.
sharesHomeWith
Indicates that two entities live in the same home or residence.
- 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_69f3498c35f881909df279ae4270f831 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ffc3f0b19c8190b5a749bc3cad21dd |
completed | May 9, 2026, 11:32 p.m. |
| PD | Predicate disambiguation | batch_69ffc1b882808190932b2d43ea5537c9 |
completed | May 9, 2026, 11:22 p.m. |
Created at: May 1, 2026, 1:45 a.m.