Triple
T2900775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sully |
E62647
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object | Aaron Eckhart |
E135623
|
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: Aaron Eckhart | Statement: [Sully, starredActor, Aaron Eckhart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aaron Eckhart Context triple: [Sully, starredActor, Aaron Eckhart]
-
A.
Aaron Eckhart
chosen
Aaron Eckhart is an American actor best known for his roles in films such as "The Dark Knight," "Thank You for Smoking," and "Erin Brockovich."
-
B.
Giovanni Ribisi
Giovanni Ribisi is an American actor known for his character roles in films like "Saving Private Ryan," "Avatar," and the TV series "Friends."
-
C.
Bill Hartnett
Bill Hartnett is a person notable enough to be recognized as a bearer of the surname Hartnett, though specific widely known achievements or roles are not clearly documented.
-
D.
Angus Macfadyen
Angus Macfadyen is a Scottish actor best known for his roles in films such as "Braveheart," "Equilibrium," and "Saw III," as well as numerous television appearances.
-
E.
Eric Bana
Eric Bana is an Australian actor known for his versatile performances in films such as "Hulk," "Munich," and "Troy."
- 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_69ab4c3e070c8190b78d3d2c005876dd |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe0b081308190af8875151fb11c4e |
completed | March 7, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0318f2c908190aa10aa93f8fb139c |
completed | March 10, 2026, 2:58 p.m. |
Created at: March 6, 2026, 10:10 p.m.