Triple
T308601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norman Wisdom |
E6354
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Up in the World
Up in the World is a 1956 British comedy film starring Norman Wisdom as a window cleaner who becomes entangled in chaotic misadventures while working at a wealthy country estate.
|
E39728
|
NE FINISHED |
How this triple was built (4 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: Up in the World | Statement: [Norman Wisdom, notableWork, Up in the World]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Up in the World Context triple: [Norman Wisdom, notableWork, Up in the World]
-
A.
So High
"So High" is an R&B/soul song by John Legend from his debut album "Get Lifted."
-
B.
Light of the World
Light of the World is a Christian title for Jesus Christ that emphasizes his role as the divine source of spiritual truth, guidance, and salvation for humanity.
-
C.
Live It Up
"Live It Up" is a song by John Legend from his debut studio album "Get Lifted."
-
D.
Holy Place
The Holy Place was the inner sanctuary of the ancient Israelite tabernacle and later the Jerusalem Temple, where priests performed daily rituals before the Most Holy Place.
-
E.
Reach Higher
Reach Higher is an education initiative launched by Michelle Obama to inspire and support young people in pursuing and completing postsecondary education.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Up in the World Triple: [Norman Wisdom, notableWork, Up in the World]
Generated description
Up in the World is a 1956 British comedy film starring Norman Wisdom as a window cleaner who becomes entangled in chaotic misadventures while working at a wealthy country estate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Up in the World Target entity description: Up in the World is a 1956 British comedy film starring Norman Wisdom as a window cleaner who becomes entangled in chaotic misadventures while working at a wealthy country estate.
-
A.
So High
"So High" is an R&B/soul song by John Legend from his debut album "Get Lifted."
-
B.
Light of the World
Light of the World is a Christian title for Jesus Christ that emphasizes his role as the divine source of spiritual truth, guidance, and salvation for humanity.
-
C.
Live It Up
"Live It Up" is a song by John Legend from his debut studio album "Get Lifted."
-
D.
Holy Place
The Holy Place was the inner sanctuary of the ancient Israelite tabernacle and later the Jerusalem Temple, where priests performed daily rituals before the Most Holy Place.
-
E.
Reach Higher
Reach Higher is an education initiative launched by Michelle Obama to inspire and support young people in pursuing and completing postsecondary education.
- F. None of above. chosen
Provenance (5 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_69a2e79230508190b912ecb555aae17e |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea3289608190a36c20a47761c6e4 |
completed | Feb. 28, 2026, 1:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3b475e91c8190b68b05a8112d35dd |
completed | March 1, 2026, 3:37 a.m. |
| NEDg | Description generation | batch_69a3b52d7d208190b03eac35baed1294 |
completed | March 1, 2026, 3:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3b5c1360c819093622754b6f1d2d8 |
completed | March 1, 2026, 3:42 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.