Triple
T34589041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sana Takeda |
E888124
|
entity |
| Predicate | seriesContributedTo |
P193213
|
FINISHED |
| Object | Monstress |
—
|
NE NERFINISHED |
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: Monstress | Statement: [Sana Takeda, seriesContributedTo, Monstress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesContributedTo Context triple: [Sana Takeda, seriesContributedTo, Monstress]
-
A.
seriesOf
Indicates that one entity is a sequence or ordered set of related items, events, or parts that collectively form or belong to another entity.
-
B.
seriesAgainst
Indicates a competitive matchup or series of contests played between two opposing entities.
-
C.
seriesParticipatedIn
Indicates that an entity took part in or was involved as a participant in a particular series (such as a competition, event sequence, or media series).
-
D.
seriesDirected
Indicates that a person is responsible for directing the episodes or overall creative direction of a television or web series.
-
E.
seriesCreatorOfWorkAppearedIn
Indicates that a person or entity created a series in which a given work (such as an episode, installment, or related production) appeared.
- 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_69f349d3bfcc81909874c99e646fb3ea |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd3a69f1e08190a11aed015bff0858 |
completed | May 8, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69fd39124180819080ca7911d3515d6d |
completed | May 8, 2026, 1:14 a.m. |
| PDg | Predicate description generation | batch_69fd3a6905b88190ae12b43576f4cc63 |
completed | May 8, 2026, 1:20 a.m. |
Created at: May 1, 2026, 2:03 a.m.