Triple
T16436879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lovehunter |
E399200
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Medicine Man |
E536530
|
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: Medicine Man | Statement: [Lovehunter, hasPart, Medicine Man]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Medicine Man Context triple: [Lovehunter, hasPart, Medicine Man]
-
A.
Medicine Man
chosen
"Medicine Man" is a 1992 adventure drama film starring Sean Connery as a biochemist searching for a cancer cure in the Amazon rainforest.
-
B.
The Medicine Man
The Medicine Man is a historical novel by American author Samuel Shellabarger, known for its richly detailed period setting and adventurous, character-driven narrative.
-
C.
The Medicine Men
The Medicine Men is a renowned hip-hop production team best known for crafting the signature sound of Master P’s No Limit Records in the late 1990s.
-
D.
Country Doctor
Country Doctor is a renowned 1948 photo-essay by W. Eugene Smith that intimately documents the daily life and challenges of a rural physician in Colorado.
-
E.
Country Doctor
Country Doctor is a novel by A. J. Cronin that follows the professional and personal struggles of a dedicated physician serving a rural community.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba49f3481908e7ea62467ef5813 |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0045893c5481909e5ffa9460dc5b3d |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 10, 2026, 5:10 a.m.