Triple
T11500352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annie Walker |
E272647
|
entity |
| Predicate | friendOf |
P8712
|
FINISHED |
| Object | Becca |
E340311
|
NE 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: Becca | Statement: [Annie Walker, friendOf, Becca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Becca Context triple: [Annie Walker, friendOf, Becca]
-
A.
Becca
chosen
Becca is a central character in the 2015 horror film "The Visit," a teenage girl who documents her and her brother’s unsettling stay with their estranged grandparents.
-
B.
Becky
Becky is a common English feminine given name, typically used as a diminutive of Rebecca.
-
C.
Becky
Becky is a character from Thomas More’s seminal political-philosophical work "Utopia," representing one of the figures through which the text explores idealized social and political structures.
-
D.
Becky
Becky is a free-spirited young woman in the film "What's Eating Gilbert Grape" who becomes Gilbert Grape's romantic interest and helps him envision a life beyond his small-town burdens.
-
E.
Becky
Becky is a character connected to Endora, likely appearing in the same fictional universe or storyline as her.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de3e9c881909d6c55334f7a832d |
completed | April 10, 2026, 2:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e604bc1d3c81908497f1d19dcc2167 |
completed | April 20, 2026, 10:49 a.m. |
Created at: April 8, 2026, 9:36 p.m.