Triple
T13829908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birth of a Prince |
E332366
|
entity |
| Predicate | hasProducer |
P30366
|
FINISHED |
| Object | Fisherman |
E332366
|
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: Fisherman | Statement: [Birth of a Prince, hasProducer, Fisherman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fisherman Context triple: [Birth of a Prince, hasProducer, Fisherman]
-
A.
Fisherman
chosen
Fisherman is a film producer known for working on the movie "Birth of a Prince."
-
B.
The Fisherman
The Fisherman is the hook-wielding serial killer villain from the "I Know What You Did Last Summer" horror film series, known for stalking and murdering the teens who wronged him.
-
C.
The Fishermen
The Fishermen is a notable mural artwork prominently displayed on Oslo’s former government building Y-blokka, recognized as part of Norway’s modernist public art heritage.
-
D.
The Big Fisherman
The Big Fisherman is a 1959 biblical epic film directed by Frank Borzage that dramatizes the life of the apostle Peter and his encounters with Jesus.
-
E.
Fishers
Fishers is a suburban city in Hamilton County, Indiana, United States, known for its rapid growth, family-friendly communities, and proximity to Indianapolis.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02970df88190a1bf35dffd131d9d |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8ebf2608190b1071ee6967fa8d3 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:13 p.m.