Triple
T38374395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Death (2010 film) |
E893576
|
entity |
| Predicate | characterUlricPortrayedBy |
P201770
|
FINISHED |
| Object | Sean Bean |
—
|
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: Sean Bean | Statement: [Black Death (2010 film), characterUlricPortrayedBy, Sean Bean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterUlricPortrayedBy Context triple: [Black Death (2010 film), characterUlricPortrayedBy, Sean Bean]
-
A.
sonCharacterPortrayedBy
Indicates that a person is the actor who portrays a specific son character in a work of fiction.
-
B.
voiceTypeOfUlrica
Indicates that the specified voice type is the vocal classification associated with the character Ulrica.
-
C.
characterPlayedByEdwardMulhare
Indicates that the subject is a character that was portrayed or played by Edward Mulhare.
-
D.
characterVoicedBy Denis Leary
Indicates that the character is voiced by Denis Leary.
-
E.
characterPlayedByDavidTomlinson
Indicates that the character is portrayed or voiced by the actor David Tomlinson.
- F. None of above. chosen
Provenance (4 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_69f76e4b1f748190a380696a16eae4a2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a001cc0ff588190bb7c8a6fd427d02b |
completed | May 10, 2026, 5:50 a.m. |
| PD | Predicate disambiguation | batch_6a001b3ea18c8190aeda7a32b2697490 |
completed | May 10, 2026, 5:44 a.m. |
| PDg | Predicate description generation | batch_6a001cc053ac8190927768a4ecb023b9 |
completed | May 10, 2026, 5:50 a.m. |
Created at: May 3, 2026, 4:31 p.m.