Triple
T7922101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kipps (film, 1941) |
E183968
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Kipps |
E34730
|
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: Kipps | Statement: [Kipps (film, 1941), title, Kipps]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kipps Context triple: [Kipps (film, 1941), title, Kipps]
-
A.
Kipps
chosen
Kipps is a 1905 social novel by H. G. Wells that follows the rise of a humble draper’s apprentice after an unexpected inheritance, exploring class mobility and Edwardian society.
-
B.
Kipper Jones
Kipper Jones is an American R&B singer-songwriter and producer known for crafting hits for artists such as Brandy, Vanessa Williams, and Tevin Campbell.
-
C.
Monty Kipps
Monty Kipps is a conservative, Trinidadian-born academic and Christian intellectual who serves as a central foil to the liberal Belsey family in Zadie Smith’s novel "On Beauty."
-
D.
Tom Sayers
Tom Sayers was a celebrated 19th-century English bare-knuckle prizefighter regarded as one of the greatest boxers of his era.
-
E.
Peter Brand
Peter Brand is a young, statistics-obsessed Yale economics graduate who becomes Billy Beane’s assistant and key architect of the Oakland A’s data-driven roster strategy in the film "Moneyball."
- 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_69ca828efbe48190bd48482650182e79 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a9499cc8190b6bd81f4625c77ab |
completed | March 31, 2026, 3:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbde69b608190a49d93c04c46787d |
completed | April 1, 2026, 6:40 a.m. |
Created at: March 30, 2026, 5:06 p.m.