Triple
T15992240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mom Racer |
E387860
|
entity |
| Predicate | directorOfWork |
P255
|
FINISHED |
| Object | The Wachowskis |
E782504
|
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 Wachowskis | Statement: [Mom Racer, directorOfWork, The Wachowskis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Wachowskis Context triple: [Mom Racer, directorOfWork, The Wachowskis]
-
A.
The Wachowskis
chosen
The Wachowskis are American filmmakers best known for creating and directing the groundbreaking science fiction film series "The Matrix."
-
B.
Tom Wachowski
Tom Wachowski is the small-town sheriff and main human ally to Sonic in the live-action "Sonic the Hedgehog" film series.
-
C.
Lana Wachowski
Lana Wachowski is an American filmmaker best known for co-creating and directing the groundbreaking science fiction film series "The Matrix" alongside her sister Lilly Wachowski.
-
D.
Lilly Wachowski
Lilly Wachowski is an American filmmaker and writer best known, along with her sister Lana, for co-creating and directing the groundbreaking science fiction film series "The Matrix."
-
E.
Duncan Jones
Duncan Jones is a British film director and screenwriter best known for his science fiction films such as "Moon" and "Source Code," as well as the fantasy epic "Warcraft."
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157844ed881908b42bfc1bb740d4e |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d3ef2881909213ff608192f1ef |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:54 a.m.