Triple
T14384657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Count of Monte Cristo (1975 film) |
E356691
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Donald Pleasence |
E144534
|
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: Donald Pleasence | Statement: [The Count of Monte Cristo (1975 film), starring, Donald Pleasence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donald Pleasence Context triple: [The Count of Monte Cristo (1975 film), starring, Donald Pleasence]
-
A.
Donald Pleasence
chosen
Donald Pleasence was an English character actor renowned for his intense performances in film and television, including iconic roles in the "Halloween" series and "The Great Escape."
-
B.
Michael Kane
Michael Kane is a creator known for developing the character Stefen Djordjevic.
-
C.
Michael Kane
Michael Kane is a screenwriter best known for writing the 1983 American sports drama film "All the Right Moves."
-
D.
Joel Grey
Joel Grey is an American actor, singer, and dancer best known for his Oscar-winning portrayal of the Master of Ceremonies in the film adaptation of the musical "Cabaret."
-
E.
Lance Henriksen
Lance Henriksen is an American character actor best known for his intense performances in science fiction and horror films such as the Alien franchise and the TV series Millennium.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9025cff881908c08224d90d9f750 |
completed | April 14, 2026, 7:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd648409f48190b099cd137879487e |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:16 a.m.