Triple
T20628875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fearless |
E506896
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Fearless |
—
|
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: Fearless | Statement: [Fearless, title, Fearless]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fearless Context triple: [Fearless, title, Fearless]
-
A.
Fearless
chosen
Fearless is Taylor Swift’s critically acclaimed second studio album that cemented her mainstream success with its blend of country and pop and hit singles like “Love Story” and “You Belong with Me.”
-
B.
Fearless
Fearless is a British television drama series starring Helen McCrory as a human rights lawyer investigating a potentially wrongful murder conviction.
-
C.
Fearless
Fearless is the 2008 debut studio album by American R&B singer Jazmine Sullivan, showcasing her powerful vocals and confessional songwriting.
-
D.
Fearless
Fearless is a 1993 psychological drama film directed by Peter Weir that explores trauma and survivor’s guilt following a catastrophic plane crash.
-
E.
Fearless
"Fearless" is a song featured on Bryan Adams' 1998 rock album "On a Day Like Today."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe771e88190a48471bf83b4804d |
completed | April 20, 2026, 10:42 p.m. |
Created at: April 16, 2026, 11:42 a.m.