Triple
T37392229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alice Ward |
E928745
|
entity |
| Predicate | appearsInFictionalizedForm |
P192578
|
FINISHED |
| Object | The Fighter |
—
|
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 Fighter | Statement: [Alice Ward, appearsInFictionalizedForm, The Fighter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInFictionalizedForm Context triple: [Alice Ward, appearsInFictionalizedForm, The Fighter]
-
A.
appearsInFictionAs
chosen
Indicates that one entity is depicted or represented as a character, figure, or element within a fictional work or narrative.
-
B.
hasFictionalForm
Indicates that an entity has a counterpart or representation that exists within a fictional or imaginary context.
-
C.
portrayedFictionalVersionOf
Indicates that one entity depicted or acted as a fictionalized or altered version of another entity.
-
D.
hasFictionalDepictions
Indicates that an entity is represented or portrayed in one or more fictional works or narratives.
-
E.
isFictionalPersonFrom
Indicates that a fictional person originates from or is associated with a particular place or source.
- 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_69f76ebb10c481909b54b9dba263e29f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69feb342994081909481ec8ec5d44928 |
completed | May 9, 2026, 4:08 a.m. |
| PD | Predicate disambiguation | batch_69feb046e4e48190b96649aa28529cc9 |
completed | May 9, 2026, 3:55 a.m. |
Created at: May 3, 2026, 4:16 p.m.