Triple
T614867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Twilight Saga: Breaking Dawn – Part 2 |
E12180
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Taylor Lautner |
E71820
|
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: Taylor Lautner | Statement: [The Twilight Saga: Breaking Dawn – Part 2, stars, Taylor Lautner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taylor Lautner Context triple: [The Twilight Saga: Breaking Dawn – Part 2, stars, Taylor Lautner]
-
A.
Taylor Lautner
chosen
Taylor Lautner is an American actor best known for playing werewolf Jacob Black in the Twilight film series.
-
B.
Josh Hutcherson
Josh Hutcherson is an American actor best known for his role as Peeta Mellark in "The Hunger Games" film series.
-
C.
Kellan Lutz
Kellan Lutz is an American actor and model best known for playing the vampire Emmett Cullen in the Twilight film series.
-
D.
Garrett Hedlund
Garrett Hedlund is an American actor and singer known for roles in films such as "Tron: Legacy," "Friday Night Lights," and "Country Strong."
-
E.
Josh Hartnett
Josh Hartnett is an American actor known for his breakout roles in late-1990s and early-2000s films such as "The Faculty," "Pearl Harbor," and "Black Hawk Down," as well as later work in projects like the series "Penny Dreadful."
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49e0a0f588190b953fdb585263307 |
completed | March 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5693312888190bdf7bfa120d22520 |
completed | March 2, 2026, 10:40 a.m. |
Created at: March 1, 2026, 7:35 p.m.