Triple
T15745557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitney Houston |
E381713
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Bodyguard |
E3174
|
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 Bodyguard | Statement: [Whitney Houston, notableWork, The Bodyguard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Bodyguard Context triple: [Whitney Houston, notableWork, The Bodyguard]
-
A.
The Bodyguard
chosen
The Bodyguard is a 1992 romantic thriller film starring Kevin Costner and Whitney Houston, featuring Houston’s iconic performance and hit soundtrack including “I Will Always Love You.”
-
B.
My Bodyguard
My Bodyguard is a 1980 coming-of-age comedy-drama film about a bullied teenager who hires a feared outcast as his personal protector.
-
C.
Bodyguard
"Bodyguard" is a song from Beyoncé's genre-blending 2024 album *Cowboy Carter*, showcasing her fusion of country, R&B, and pop influences.
-
D.
Bodyguard
Bodyguard is a British political thriller television series that follows a troubled war veteran assigned to protect a high-profile government minister amid escalating security and conspiracy tensions.
-
E.
Waiting to Exhale
Waiting to Exhale is a 1995 romantic drama film, based on Terry McMillan’s novel, that follows the intertwined lives and relationships of four African-American women.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0502c0c3c8190b8e512df307039c1 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff8307824881909ba85e4c3da65d28 |
completed | May 9, 2026, 6:55 p.m. |
Created at: April 10, 2026, 4:46 a.m.