Triple
T17606946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Biehn |
E428856
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Abyss |
—
|
NE NERFINISHED |
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: The Abyss | Statement: [Michael Biehn, notableWork, The Abyss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Abyss Context triple: [Michael Biehn, notableWork, The Abyss]
-
A.
The Abyss
The Abyss is a 1910 Danish silent drama film that made Asta Nielsen an international star and is renowned for its intense portrayal of passion and sexuality.
-
B.
The Abyss
chosen
The Abyss is a 1989 science fiction film directed by James Cameron that follows a deep-sea oil drilling team encountering mysterious underwater phenomena.
-
C.
Into the Abyss
Into the Abyss is a 2011 documentary film by Werner Herzog that explores a Texas triple homicide case and the human realities surrounding capital punishment.
-
D.
Abyss
Abyss is an American professional wrestler best known for his long-running, hardcore-style career in Total Nonstop Action/Impact Wrestling, where he became one of the promotion’s signature monsters and multi-time champion.
-
E.
Deep Sea Warrior
Deep Sea Warrior is a Chinese deep-sea manned submersible designed for scientific exploration and research in the ocean’s abyssal zones.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c4ccef08190aeaa88670364bd74 |
completed | April 19, 2026, 5:46 a.m. |
Created at: April 10, 2026, 5:51 a.m.