Triple
T590581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plimoth Patuxet Museums |
E17257
|
entity |
| Predicate | usesInterpretiveStaff |
P15989
|
FINISHED |
| Object | costumed role-players |
—
|
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: costumed role-players | Statement: [Plimoth Patuxet Museums, usesInterpretiveStaff, costumed role-players]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesInterpretiveStaff Context triple: [Plimoth Patuxet Museums, usesInterpretiveStaff, costumed role-players]
-
A.
traditionalInstrument
Indicates that an entity is a musical instrument associated with the traditional or customary music of a particular culture, region, or community.
-
B.
typicalNotation
Indicates that one entity is the standard or commonly used symbolic representation (notation) for another entity.
-
C.
musicInstrumentation
Indicates the specific instruments or instrumental forces used to perform a piece of music.
-
D.
reliesOnInstrument
Indicates that an action or process depends on or is carried out using a particular instrument or tool.
-
E.
usesArticulators
Indicates that an entity performs an action or produces a signal by employing specific speech or movement articulators (e.g., tongue, lips, jaw).
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bb8ff0081909cd53d88930e2693 |
completed | March 1, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69a494cc13988190892ca10bd7ae9f09 |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a4985ada988190aaea628a9b55bca4 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:33 p.m.