Triple
T4269059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Gallery of Madame Liu-Tsong |
E96894
|
entity |
| Predicate | leadCharacterActivity |
P55097
|
FINISHED |
| Object | solving crimes |
—
|
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: solving crimes | Statement: [The Gallery of Madame Liu-Tsong, leadCharacterActivity, solving crimes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadCharacterActivity Context triple: [The Gallery of Madame Liu-Tsong, leadCharacterActivity, solving crimes]
-
A.
leadCharacterStatus
Indicates the role or condition of an entity when it serves as the primary or central character in a narrative or context.
-
B.
leadingOrgan
Indicates that one entity serves as the primary or most responsible organizing body or authority for another entity or activity.
-
C.
coordinatesActivitiesOf
Indicates that one entity organizes, aligns, or manages the activities of another entity or group of entities so they work together effectively.
-
D.
liveAction
Indicates that an entity is a live-action (non-animated) adaptation, portrayal, or version of another entity.
-
E.
targetedActivity
Indicates that an activity is specifically directed or focused toward a particular entity, group, or objective.
- 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_69b34543f06c8190915ebb1a4574ffa9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ff913608190b6ccf4a85057b07b |
completed | March 12, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69b347f8dcb08190a725c1f7fb5a7466 |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e0606488190baadf469a1afc3c2 |
completed | March 12, 2026, 11:36 p.m. |
Created at: March 12, 2026, 11:07 p.m.