Triple
T10650607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donna Powers |
E250956
|
entity |
| Predicate | coWrote |
P7732
|
FINISHED |
| Object | The Phantom (1996 film) |
E732643
|
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 Phantom (1996 film) | Statement: [Donna Powers, coWrote, The Phantom (1996 film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Phantom (1996 film) Context triple: [Donna Powers, coWrote, The Phantom (1996 film)]
-
A.
Phantom
Phantom is a hostile flying undead mob in Minecraft that swoops down from the night sky to attack players who haven’t slept for several days.
-
B.
Phantom
Phantom is a music production alias associated with Ye (formerly Kanye West), under which he has created and produced tracks.
-
C.
The Phantom
The Phantom is the main terrorist antagonist in the 2008 Adam Sandler comedy film "You Don’t Mess with the Zohan."
-
D.
The Phantom
chosen
The Phantom is a 1996 superhero adventure film, based on the classic comic strip, in which Billy Zane stars as a masked crime-fighter defending the jungle island of Bengalla from a ruthless criminal mastermind.
-
E.
Phantom’s Revenge
Phantom’s Revenge is a high-speed steel roller coaster at Kennywood amusement park near Pittsburgh, Pennsylvania, known for its intense airtime and dramatic terrain-hugging drops.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfe4b97081908815b77612222318 |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a69a57c81908bf99cac0c0a49f2 |
completed | April 10, 2026, 10:32 p.m. |
Created at: April 8, 2026, 9:06 p.m.