Triple
T8319669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horns (film) |
E194797
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Joe Anderson |
E357010
|
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: Joe Anderson | Statement: [Horns (film), starring, Joe Anderson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Anderson Context triple: [Horns (film), starring, Joe Anderson]
-
A.
Joe Anderson
chosen
Joe Anderson is a British actor known for his roles in films such as "Across the Universe," "The Ruins," and "The Crazies," as well as various television and stage productions.
-
B.
Nick Anderson
Nick Anderson is a former American professional basketball player best known for his long tenure with the Orlando Magic in the NBA.
-
C.
Tony Anderson
Tony Anderson is an athlete known for playing with the sports team The Warriors.
-
D.
Ron Anderson
Ron Anderson is the awkward American comedy writer protagonist of the 1989 British film "The Tall Guy," whose romantic and professional misadventures drive the story.
-
E.
Brian D. O. Anderson
Brian D. O. Anderson is a prominent Australian control theorist and engineer known for his influential contributions to systems theory, signal processing, and control engineering.
- 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_69ca82e7a8a88190a32bb5cc0feb012d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f6686a0819094abc2bfd2e500a5 |
completed | March 31, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc6f629a0819081635763192903d8 |
completed | April 2, 2026, 1:31 a.m. |
Created at: March 30, 2026, 5:55 p.m.