Triple
T37331511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stage Manager (Our Town) |
E926762
|
entity |
| Predicate | inspiredLaterNarratorCharacters |
P194730
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Stage Manager (Our Town), inspiredLaterNarratorCharacters, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredLaterNarratorCharacters Context triple: [Stage Manager (Our Town), inspiredLaterNarratorCharacters, true]
-
A.
narratedByCharacters
Indicates that the events or content of a work are told or recounted by specific characters within that work.
-
B.
narrativeCharacter
Indicates that one entity functions as a character within the narrative or story associated with another entity.
-
C.
storyCharacterizedAs
Indicates that a story is described, portrayed, or defined as having a particular quality, style, or attribute.
-
D.
characters
Indicates that one entity is a character (or set of characters) associated with, appearing in, or belonging to another entity (such as a work, story, or medium).
-
E.
frameStoryCharacters
Indicates that one or more characters participate in or are involved in the narrative frame of a story (the outer or framing narrative).
- 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_69f76eb386d88190a8d511aa11540dfc |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd82ed2a4c81908bd7797fbd2e3d08 |
completed | May 8, 2026, 6:30 a.m. |
| PD | Predicate disambiguation | batch_69fd814cc10481908e4f8123d35a5d0c |
completed | May 8, 2026, 6:23 a.m. |
| PDg | Predicate description generation | batch_69fd82ebe1c081908455fc45b6e45178 |
completed | May 8, 2026, 6:30 a.m. |
Created at: May 3, 2026, 4:16 p.m.