Triple
T8351392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hannah and Her Sisters |
E196166
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Lloyd Nolan |
E346230
|
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: Lloyd Nolan | Statement: [Hannah and Her Sisters, stars, Lloyd Nolan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lloyd Nolan Context triple: [Hannah and Her Sisters, stars, Lloyd Nolan]
-
A.
Lloyd Nolan
chosen
Lloyd Nolan was an American film and television actor known for his versatile character roles in dramas, crime films, and later in popular TV series.
-
B.
Robert Nolan
Robert Nolan is a relatively common personal name shared by multiple individuals across various professions, including arts, sports, and public life.
-
C.
Paul Nolan
Paul Nolan is a relatively common personal name shared by various individuals, including professionals in fields such as sports, entertainment, and academia.
-
D.
James Lloyd
James Lloyd, better known by his stage name Lil' Cease, is an American rapper from Brooklyn associated with The Notorious B.I.G. and Junior M.A.F.I.A.
-
E.
Tom Henighan
Tom Henighan is a researcher and co-author known for his work in large-scale language models and AI, including contributions to influential OpenAI publications.
- 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_69ca82edd63c8190b876b8465464c5fa |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb8019fb308190a3edc744bd473a5b |
completed | March 31, 2026, 8:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce029282988190ae1bf71302284029 |
completed | April 2, 2026, 5:45 a.m. |
Created at: March 30, 2026, 5:59 p.m.