Triple
T37811590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Hannah as Jonathan Carnahan |
E942658
|
entity |
| Predicate | lastAppearanceAsCharacter |
P161160
|
FINISHED |
| Object | The Mummy: Tomb of the Dragon Emperor |
—
|
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: Tomb of the Dragon Emperor | Statement: [John Hannah as Jonathan Carnahan, lastAppearanceAsCharacter, The Mummy: Tomb of the Dragon Emperor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastAppearanceAsCharacter Context triple: [John Hannah as Jonathan Carnahan, lastAppearanceAsCharacter, The Mummy: Tomb of the Dragon Emperor]
-
A.
lastAppearance
Indicates the most recent time or instance in which an entity appears or is present within a given context or sequence.
-
B.
lastRegularAppearanceDate
Indicates the date on which an entity made its most recent standard or non-special appearance.
-
C.
lastPrintableCharacter
Indicates that one character is the final non-whitespace (or otherwise displayable) character in a given sequence or string.
-
D.
lastAppearanceTitle
chosen
Indicates the title of the work in which an entity most recently appeared.
-
E.
lastLocation
Indicates the most recent known place or position where an entity was located.
- 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_69fbb9e8108c8190ae1c7940b1677e95 |
completed | May 6, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fbb141605c8190b9c27d70352522db |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.