Triple
T26125367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Misir Ali series |
E659084
|
entity |
| Predicate | mainCharacterField |
P167070
|
FINISHED |
| Object | psychology |
—
|
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: psychology | Statement: [Misir Ali series, mainCharacterField, psychology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainCharacterField Context triple: [Misir Ali series, mainCharacterField, psychology]
-
A.
mainProtagonist
Indicates that the subject is the central character or primary focus in the narrative of the related work.
-
B.
mainMortalCharacter
Indicates that the referenced entity serves as the primary mortal (non-immortal) character in the context of a story or narrative.
-
C.
mainCharacterCodeNumber
Indicates that an entity is identified as the primary or central character by a specific code number.
-
D.
hasPrimaryCharacter
Indicates that an entity features another entity as its main or central character.
-
E.
currentCharacter
Indicates that an entity is the character presently in focus or being actively considered in a given context or sequence.
- 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_69ee5bc2b2948190b458ad3f580af779 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f6653ccf648190b65fb1141928e47e |
completed | May 2, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f663ff176c8190aaadb475f75daee4 |
completed | May 2, 2026, 8:52 p.m. |
Created at: April 26, 2026, 8:11 p.m.