Triple
T10244450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halle Bailey |
E240175
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Freeform |
E177699
|
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: Freeform | Statement: [Halle Bailey, employer, Freeform]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freeform Context triple: [Halle Bailey, employer, Freeform]
-
A.
Freeform
chosen
Freeform is an American cable television network owned by Disney that primarily targets young adults with a mix of original series, movies, and acquired programming.
-
B.
Free’s
"Free’s" is a song featured on the album *Apocalypse*.
-
C.
Libre
Libre is a popular Yves Saint Laurent fragrance known for its bold, modern floral scent that blends lavender, orange blossom, and vanilla.
-
D.
Libre
"Libre" is a 2001 Latin pop and salsa album by Marc Anthony that features romantic ballads and dance tracks and helped solidify his international stardom.
-
E.
Freestyle
Freestyle was the internal codename used by Microsoft during the development of Windows Media Center, a digital video recorder and media playback application for Windows.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d22be0208190b671a4e3f81d11b8 |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f79c20e08190928d061b3d4b4e47 |
completed | April 9, 2026, 12:49 a.m. |
Created at: April 6, 2026, 11:26 a.m.