Triple
T8113607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goldie Hawn |
E189414
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Wyatt Russell |
E399023
|
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: Wyatt Russell | Statement: [Goldie Hawn, child, Wyatt Russell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wyatt Russell Context triple: [Goldie Hawn, child, Wyatt Russell]
-
A.
Wyatt Russell
chosen
Wyatt Russell is an American actor and former professional ice hockey player known for roles in films like "22 Jump Street" and the Marvel series "The Falcon and the Winter Soldier."
-
B.
Cory Michael Smith
Cory Michael Smith is an American actor best known for portraying Edward Nygma/The Riddler on the television series "Gotham."
-
C.
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.
-
D.
Nicholas Woodeson
Nicholas Woodeson is a British character actor known for his work in film, television, and theatre, including roles in productions such as "Skyfall," "Rome," and "The Death of Stalin."
-
E.
Caleb McLaughlin
Caleb McLaughlin is an American actor best known for playing Lucas Sinclair in the Netflix science-fiction horror series "Stranger Things."
- 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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb432f2a24819097be6ab9b03567bd |
completed | March 31, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc9433a5848190aac09a2589061b53 |
completed | April 1, 2026, 3:42 a.m. |
Created at: March 30, 2026, 5:32 p.m.