Triple
T14413296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skiptrace |
E357383
|
entity |
| Predicate | hasJackieChanFilmographyPosition |
P114156
|
FINISHED |
| Object | Jackie Chan filmography entry |
—
|
LITERAL 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: Jackie Chan filmography entry | Statement: [Skiptrace, hasJackieChanFilmographyPosition, Jackie Chan filmography entry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasJackieChanFilmographyPosition Context triple: [Skiptrace, hasJackieChanFilmographyPosition, Jackie Chan filmography entry]
-
A.
hasMarxBrothersFilmographyPosition
Indicates the specific position or ranking an item holds within the ordered filmography of the Marx Brothers.
-
B.
hasPortrayedRole
Indicates that an entity has performed or depicted a specific role or character, typically in a work such as a film, play, or television show.
-
C.
hasFictionalRole
Indicates that an entity plays or is assigned a specific role within a fictional work or narrative.
-
D.
hasStageNameInFilm
Indicates that an individual is credited or referred to by a particular stage name in a specific film.
-
E.
placementInFilm
Indicates the specific position or occurrence of something within the sequence or structure of a film.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cb3c708190822f5506ebf7ee9d |
completed | April 14, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69de5c30467881908e770e3940295641 |
completed | April 14, 2026, 3:24 p.m. |
| PDg | Predicate description generation | batch_69de5fb4de14819092acdecbd201d672 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:17 a.m.