Triple
T14413311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Legend of Hercules |
E357384
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Kellan Lutz |
E74547
|
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: Kellan Lutz | Statement: [The Legend of Hercules, starring, Kellan Lutz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kellan Lutz Context triple: [The Legend of Hercules, starring, Kellan Lutz]
-
A.
Kellan Lutz
chosen
Kellan Lutz is an American actor and model best known for playing the vampire Emmett Cullen in the Twilight film series.
-
B.
Ethan Embry
Ethan Embry is an American actor known for his roles in 1990s films such as "Empire Records," "Can't Hardly Wait," and various television series.
-
C.
Justin Bamber
Justin Bamber is a relatively obscure individual whose primary current notability appears to stem from being listed as a bearer of the surname Bamber.
-
D.
Chace Crawford
Chace Crawford is an American actor best known for his role as Nate Archibald on the television series "Gossip Girl."
-
E.
Nick Stahl
Nick Stahl is an American actor known for his roles in films such as "Terminator 3: Rise of the Machines," "In the Bedroom," and "Sin City."
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cb3c708190822f5506ebf7ee9d |
completed | April 14, 2026, 7:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd648784048190a9c7e95bfeec8b23 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:17 a.m.