Triple
T13607344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unwaxed podcast |
E325097
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Sophia Stallone |
E64319
|
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: Sophia Stallone | Statement: [Unwaxed podcast, createdBy, Sophia Stallone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sophia Stallone Context triple: [Unwaxed podcast, createdBy, Sophia Stallone]
-
A.
Sophia Stallone
chosen
Sophia Stallone is an American model, social media personality, and podcast host, best known as the eldest daughter of actor Sylvester Stallone.
-
B.
Brigitte Stallone
Brigitte Stallone is the name Brigitte Nielsen used during her marriage to actor Sylvester Stallone, under which she was sometimes credited in her early Hollywood career.
-
C.
Scarlet Stallone
Scarlet Stallone is an American social media personality and the youngest daughter of actor and filmmaker Sylvester Stallone.
-
D.
Sistine Stallone
Sistine Stallone is an American model and actress, known both for her fashion work and for being one of Sylvester Stallone’s daughters.
-
E.
Linda Hamilton
Linda Hamilton is an American actress best known for her iconic role as Sarah Connor in the "Terminator" film series.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07f462c8190b5b5e115d550037f |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78ae56e2081909c0fd044ce3730a9 |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:50 p.m.