Triple
T2894578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unaccustomed Earth |
E63904
|
entity |
| Predicate | hasSequelLikeCycle |
P43840
|
FINISHED |
| Object | Hema and Kaushik trilogy in Part II |
—
|
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: Hema and Kaushik trilogy in Part II | Statement: [Unaccustomed Earth, hasSequelLikeCycle, Hema and Kaushik trilogy in Part II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSequelLikeCycle Context triple: [Unaccustomed Earth, hasSequelLikeCycle, Hema and Kaushik trilogy in Part II]
-
A.
hasSequel
Indicates that one work is followed by another work that continues its story, timeline, or thematic development.
-
B.
hasSequelNumber
Indicates that an entity is followed by another work in a series identified by a specific sequential number.
-
C.
hasSequelInCanon
Indicates that a work has a subsequent work that continues its story within the officially recognized continuity.
-
D.
hasSequelShotBackToBackWith
Indicates that two sequels were filmed consecutively or simultaneously as part of the same production schedule.
-
E.
hasSequelInDevelopment
Indicates that a work has a follow-up installment currently being planned, produced, or otherwise developed but not yet released.
- 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_69ab4c45822c8190830c5f2bb97bcfd0 |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe063de6c8190bce9ddefd1dd62e1 |
completed | March 7, 2026, 8:23 a.m. |
| PD | Predicate disambiguation | batch_69abdd17bcdc8190aa47274a50ba4ad4 |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abde0f4c648190b9812e64f30c39da |
completed | March 7, 2026, 8:13 a.m. |
Created at: March 6, 2026, 10:07 p.m.