Triple
T5581205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Godfather Part III |
E146643
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Talia Shire |
E70833
|
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: Talia Shire | Statement: [The Godfather Part III, starring, Talia Shire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Talia Shire Context triple: [The Godfather Part III, starring, Talia Shire]
-
A.
Talia Shire
chosen
Talia Shire is an American actress best known for her roles as Adrian in the Rocky film series and Connie Corleone in The Godfather trilogy.
-
B.
Sela Ward
Sela Ward is an American actress known for her Emmy-winning performances in television dramas such as "Sisters" and "Once and Again."
-
C.
Maud Adams
Maud Adams is a Swedish actress best known for her roles as Bond girls in the James Bond films "The Man with the Golden Gun" and "Octopussy."
-
D.
Lilla Crawford
Lilla Crawford is an American actress and singer best known for her work in musical theatre and film, including playing the title role in Broadway’s "Annie" and Little Red Riding Hood in the 2014 film adaptation of "Into the Woods."
-
E.
Talia Balsam
Talia Balsam is an American actress known for her work in film and television, including roles in series like Mad Men and numerous independent movies.
- 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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0208147a48190b2cdb42b9c9814a3 |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0285baa648190bf8e94740ea62466 |
completed | March 22, 2026, 5:35 p.m. |
Created at: March 22, 2026, 3:37 p.m.