Triple
T29150215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Doggett |
E738885
|
entity |
| Predicate | seriesFormatRole |
P69568
|
FINISHED |
| Object | introduced after Fox Mulder’s abduction |
—
|
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: introduced after Fox Mulder’s abduction | Statement: [John Doggett, seriesFormatRole, introduced after Fox Mulder’s abduction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesFormatRole Context triple: [John Doggett, seriesFormatRole, introduced after Fox Mulder’s abduction]
-
A.
seriesRole
chosen
Indicates the specific role or function an entity has within a series or sequence of related items.
-
B.
inSeriesFormat
Indicates that one entity is organized or presented as part of a sequential series format relative to another entity.
-
C.
typicalSeriesFormat
Indicates that one entity represents the usual or standard format or structure in which a given series is presented or organized.
-
D.
seriesDescriptor
Indicates that an entity serves as a descriptive or identifying label for a series to which another entity belongs.
-
E.
showFormatRole
Indicates the role or function that an entity has in relation to the format of a show or presentation.
- 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_69f07cb46f148190874eb8576a447567 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
Created at: April 28, 2026, 11:41 a.m.