Triple
T9995583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alice Braga |
E197193
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Predators |
E417486
|
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: Predators | Statement: [Alice Braga, notableWork, Predators]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Predators Context triple: [Alice Braga, notableWork, Predators]
-
A.
Predators (2010 film)
chosen
Predators (2010 film) is a science fiction action movie in the Predator franchise that follows a group of elite warriors hunted on an alien planet by advanced extraterrestrial predators.
-
B.
Predator
Predator is Acer’s gaming-focused brand known for its high-performance laptops, desktops, and accessories designed for enthusiast and professional gamers.
-
C.
Predator
Predator is a 1987 science fiction action film in which an elite military team in a Central American jungle is hunted by a technologically advanced alien warrior.
-
D.
The Predator
The Predator is a 2018 science fiction action film that continues the iconic Predator franchise with a modern, humor-tinged take on humans battling lethal alien hunters.
-
E.
Hunters
Hunters is a residential neighborhood located within the Kasarani area of Nairobi, Kenya.
- 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_69ca82f3b61c81908ecc2c1c96dbc2e4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcb99ac74819091f20816478ea375 |
completed | April 2, 2026, 1:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d258336ab8819098d4878b8c106d86 |
completed | April 5, 2026, 12:40 p.m. |
Created at: March 30, 2026, 8:50 p.m.