Triple
T9565642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Sadoski |
E230781
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Wild |
E196816
|
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: Wild | Statement: [Thomas Sadoski, notableWork, Wild]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wild Context triple: [Thomas Sadoski, notableWork, Wild]
-
A.
Wild
chosen
"Wild" is a 2014 biographical drama film starring Reese Witherspoon as Cheryl Strayed, who embarks on a transformative solo hike along the Pacific Crest Trail to confront her past and rebuild her life.
-
B.
Wild
"Wild" is a song by British singer Seal from his self-titled debut album, blending soulful vocals with atmospheric pop production.
-
C.
Wild
Wild is a surname of English origin borne by various notable individuals across fields such as politics, sports, and the arts.
-
D.
Wild
"Wild" is a song by John Legend from his album "Bigger Love," known for its romantic themes and soulful R&B style.
-
E.
Wild
Wild is Cheryl Strayed’s bestselling memoir chronicling her solo hike along the Pacific Crest Trail as a journey of grief, healing, and self-discovery.
- 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_69ca847f22188190a56e4a97625bef22 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd996c0a1081908a8356c454e60f74 |
completed | April 1, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d152abb0788190ab2e204d9a082ccf |
completed | April 4, 2026, 6:04 p.m. |
Created at: March 30, 2026, 8:04 p.m.