Triple
T10175976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rufus Sewell |
E235851
|
entity |
| Predicate | theatreWork |
P27669
|
FINISHED |
| Object | Old Times |
E294620
|
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: Old Times | Statement: [Rufus Sewell, theatreWork, Old Times]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Times Context triple: [Rufus Sewell, theatreWork, Old Times]
-
A.
Old Times
chosen
Old Times is a 1971 play by Harold Pinter that explores memory, identity, and the ambiguity of past relationships through a tense three-character drama.
-
B.
Old Days
"Old Days" is a nostalgic rock song by the American band Chicago, reflecting on childhood memories and released in the mid-1970s.
-
C.
Same Old Man
"Same Old Man" is a song by Joanna Newsom from her 2010 album *Have One on Me*, known for its intricate lyrics and distinctive harp-driven folk sound.
-
D.
The Old People
"The Old People" is a short story by William Faulkner that forms part of his collection *Go Down, Moses*, exploring themes of heritage, race, and the Southern wilderness through a young boy’s hunting experiences.
-
E.
The Good Old Days
"The Good Old Days" is a song featured on Clint Black's country music album "Put Yourself in My Shoes."
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdecd3a2688190bce277bffffcbf8b |
completed | April 2, 2026, 4:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d301232e5c8190ad80c4e78681994c |
completed | April 6, 2026, 12:41 a.m. |
Created at: March 30, 2026, 9:11 p.m.