Triple
T7707511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger Edens |
E174656
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Lili (1953 film) |
E236631
|
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: Lili (1953 film) | Statement: [Roger Edens, notableWork, Lili (1953 film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lili (1953 film) Context triple: [Roger Edens, notableWork, Lili (1953 film)]
-
A.
Lili
chosen
Lili is a 1953 musical fantasy film starring Leslie Caron as a naive orphan who joins a carnival and forms a touching bond with a puppeteer.
-
B.
Lili
Lili is the official mascot character created for the 2017 World Aquatics Championships held in Budapest.
-
C.
Lady Zhang
Lady Zhang was the wife of Chinese warlord and military leader Wu Peifu, associated with the Beiyang government era in early 20th-century China.
-
D.
Shanghai Lily
Shanghai Lily is the sophisticated and enigmatic female protagonist portrayed by Marlene Dietrich in the 1932 film "Shanghai Express."
-
E.
Lili K.
Lili K. is a Chicago-based neo-soul and jazz vocalist known for her smooth, soulful tone and collaborations within the contemporary R&B and hip-hop scenes.
- 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_69c6995b3e8c8190833108f883d5f53c |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702aadea08190bf827f5d51535224 |
completed | March 27, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8acc48708819082d58218eb753327 |
completed | March 29, 2026, 4:38 a.m. |
Created at: March 27, 2026, 4:04 p.m.