Triple
T20903512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toru Watanabe |
E514730
|
entity |
| Predicate | readingHabit |
P20180
|
FINISHED |
| Object | avid reader of literature |
—
|
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: avid reader of literature | Statement: [Toru Watanabe, readingHabit, avid reader of literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: readingHabit Context triple: [Toru Watanabe, readingHabit, avid reader of literature]
-
A.
reading
Indicates that an entity is engaged in the activity of interpreting and understanding written or printed material from another entity or source.
-
B.
readingOrganizer
Indicates that an entity is responsible for planning, managing, or coordinating reading-related activities or materials for others.
-
C.
readingAid
Indicates that one entity assists or facilitates another entity’s ability to read or engage in reading activities.
-
D.
readingExperience
chosen
Indicates the relationship in which an entity engages with written or visual material, capturing the act, manner, or quality of that reading activity.
-
E.
readingFeature
Indicates that an entity possesses a characteristic, capability, or attribute specifically related to reading.
- 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_69e0b4f8a1108190bce3d31331290ced |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e8fe4b808190bbc1bbde7a11f283 |
completed | April 21, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69e5c9ac91108190a6700fcdf2f11890 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:47 p.m.