Triple
T37811589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Hannah as Jonathan Carnahan |
E942658
|
entity |
| Predicate | screenDebutAsCharacter |
P116161
|
FINISHED |
| Object | The Mummy (1999 film) |
—
|
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: The Mummy (1999 film) | Statement: [John Hannah as Jonathan Carnahan, screenDebutAsCharacter, The Mummy (1999 film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: screenDebutAsCharacter Context triple: [John Hannah as Jonathan Carnahan, screenDebutAsCharacter, The Mummy (1999 film)]
-
A.
screenDebutInMajorRoleFor
Indicates that one entity made their first significant on-screen appearance (major role) in a particular production or work.
-
B.
hasOnScreenDebutActor
Indicates that an actor makes their first on-screen appearance in the referenced work or production.
-
C.
featuresCharacterDebut
chosen
Indicates that the subject work includes the first-ever appearance of a particular character.
-
D.
marksDebutOfCharacter
Indicates that an event, work, or appearance represents the first introduction of a particular character.
-
E.
appearsWithCharacter
Indicates that two characters are shown or present together within the same scene, shot, or context.
- F. None of above.
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_69f76ee8104c8190ab17133ccd8f86e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:19 p.m.