Triple
T7213530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J. Michael Muro |
E149468
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | The Abyss |
E159007
|
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: The Abyss | Statement: [J. Michael Muro, workedOn, The Abyss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Abyss Context triple: [J. Michael Muro, workedOn, The Abyss]
-
A.
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.
-
B.
Sealab
Sealab is a music producer known for contributing to Pusha T’s critically acclaimed hip-hop album "My Name Is My Name."
-
C.
Waterworld
Waterworld is a 1995 post-apocalyptic science fiction film set on a flooded Earth, best known for its ambitious water-based production, high budget, and starring Kevin Costner as a mutant drifter.
-
D.
Deep Gill
Deep Gill is a notable steep gully on the slopes of Scafell in England’s Lake District, popular with scramblers and climbers.
-
E.
The Deep
The Deep is a 1976 adventure novel by Peter Benchley that follows a young couple who discover dangerous secrets and sunken treasure while diving near Bermuda.
- 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_69c687eca814819095abb52316b1af80 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e98b61448190add3624a818fdc7b |
completed | March 27, 2026, 8:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bfcec3448190ab29c3742aa167ae |
completed | March 28, 2026, 11:47 a.m. |
Created at: March 27, 2026, 2:53 p.m.