Triple
T4567709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Drowning Pool |
E121948
|
entity |
| Predicate | sequelTo |
P1961
|
FINISHED |
| Object | Harper (1966 film) |
E454327
|
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: Harper (1966 film) | Statement: [The Drowning Pool, sequelTo, Harper (1966 film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harper (1966 film) Context triple: [The Drowning Pool, sequelTo, Harper (1966 film)]
-
A.
Harper (film)
chosen
Harper is a 1966 American neo-noir mystery film starring Paul Newman as a wisecracking private detective in a stylish, character-driven investigation.
-
B.
Random Harvest
Random Harvest is a 1942 romantic drama film, based on James Hilton’s novel, renowned for its amnesia-driven love story and considered one of director Mervyn LeRoy’s most enduring works.
-
C.
Harper
Harper is a small community located in Raleigh County, West Virginia, in the United States.
-
D.
Harper
Harper is a major American publishing house known for releasing a wide range of influential fiction and nonfiction works.
-
E.
Hooch
Hooch is the slobbery but lovable Dogue de Bordeaux who partners with Tom Hanks’s character in the 1989 buddy-cop comedy film "Turner & Hooch."
- 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_69bd463f156881908a99aca69c5721ac |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd589faccc8190ac0354644099810d |
completed | March 20, 2026, 2:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bde07f98748190b5f1a521aec28f51 |
completed | March 21, 2026, 12:04 a.m. |
Created at: March 20, 2026, 1:09 p.m.