Triple
T21823562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Gyllenhaal |
E538790
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Gyllenhaal |
—
|
NE NERFINISHED |
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: Gyllenhaal | Statement: [Stephen Gyllenhaal, familyName, Gyllenhaal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gyllenhaal Context triple: [Stephen Gyllenhaal, familyName, Gyllenhaal]
-
A.
Gyllenhaal
chosen
Gyllenhaal is a prominent Swedish-American family name best known for its association with actors Jake and Maggie Gyllenhaal.
-
B.
Jake Gyllenhaal
Jake Gyllenhaal is an acclaimed American actor known for his intense, versatile performances in films ranging from independent dramas to major studio thrillers.
-
C.
Lars Herman Gyllenhaal
Lars Herman Gyllenhaal was a 19th-century Swedish statesman and jurist who rose to become one of the kingdom’s highest legal and political authorities.
-
D.
Stephen Gyllenhaal
Stephen Gyllenhaal is an American film and television director and poet, known for directing dramas such as "Waterland" and for being the father of actors Jake and Maggie Gyllenhaal.
-
E.
Steve Kinnaman
Steve Kinnaman is the father of Swedish-American actor Joel Kinnaman.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c475038c8190abb9b1a20eb8ff50 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0912f69f08190b06c718aa35c2bf0 |
completed | April 28, 2026, 10:51 a.m. |
Created at: April 16, 2026, 6:54 p.m.