Triple
T7166699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Five Go to Smuggler's Top |
E167085
|
entity |
| Predicate | hasProtagonistGroupSize |
P29044
|
FINISHED |
| Object | five |
—
|
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: five | Statement: [Five Go to Smuggler's Top, hasProtagonistGroupSize, five]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProtagonistGroupSize Context triple: [Five Go to Smuggler's Top, hasProtagonistGroupSize, five]
-
A.
hasProtagonistGroup
Indicates that a narrative work features a central group of characters who collectively serve as the main protagonists.
-
B.
protagonistCount
chosen
Indicates the number of primary protagonists involved in a given narrative or work.
-
C.
numberOfHumanProtagonists
Indicates the count of human characters that serve as protagonists in a given work or context.
-
D.
hasAudienceSize
Indicates the relationship between an entity and the number of people or size of group that receives, views, or engages with it.
-
E.
hasHerdSize
Indicates the number of individual animals that belong to a particular herd.
- 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_69c68888c10c819095e0383020225758 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e85a07388190a07054ef12870fa1 |
completed | March 27, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69c6e1cd5c948190a9113b23f7308c21 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:48 p.m.