Triple
T28228647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cross Fire |
E711658
|
entity |
| Predicate | includesSubplot |
P19975
|
FINISHED |
| Object | Alex Cross’s wedding plans |
—
|
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: Alex Cross’s wedding plans | Statement: [Cross Fire, includesSubplot, Alex Cross’s wedding plans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesSubplot Context triple: [Cross Fire, includesSubplot, Alex Cross’s wedding plans]
-
A.
hasSubplot
chosen
Indicates that a narrative work contains a secondary, subordinate storyline in addition to its main plot.
-
B.
includesSubdialogue
Indicates that one dialogue segment contains another dialogue segment nested within it as a subordinate part.
-
C.
hasSubscene
Indicates that a scene is composed of or contains another scene as a subordinate or nested part.
-
D.
containsSubchapter
Indicates that one chapter or section includes another, more specific subchapter as a part of its structure.
-
E.
includesSubmodule
Indicates that one module contains another module as a subordinate or component part within its structure.
- 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_69efb51dfb048190ada79b745c33b363 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69fed357b2b4819084c709056a54461f |
completed | May 9, 2026, 6:25 a.m. |
| PD | Predicate disambiguation | batch_69fed103d9cc81909b11619745110c61 |
completed | May 9, 2026, 6:15 a.m. |
Created at: April 27, 2026, 10:51 p.m.