Triple
T35808176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Boss |
E1035156
|
entity |
| Predicate | hasEntranceTrait |
P174764
|
FINISHED |
| Object | confident strut to the ring |
—
|
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: confident strut to the ring | Statement: [The Boss, hasEntranceTrait, confident strut to the ring]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEntranceTrait Context triple: [The Boss, hasEntranceTrait, confident strut to the ring]
-
A.
hasEntrance
Indicates that one entity possesses or provides an entry point or access way to another entity or space.
-
B.
hasEntranceOn
Indicates that one entity’s entrance or access point is located on or faces a specified side, boundary, or feature of another entity.
-
C.
hasEntrancesIn
Indicates that an entity has one or more entrances located within or opening into another specified entity or area.
-
D.
hasEntranceStructure
Indicates that one entity possesses or is associated with a specific physical structure that serves as its entrance.
-
E.
entranceTrait
chosen
Indicates a characteristic or feature associated with how an entity enters or is accessed (e.g., through a particular type or style of entrance).
- 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_69f76e1762408190b885a8456862e372 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd8ccbd4c88190b13aae0673b3c821 |
completed | May 8, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69fd8ae2227c819089546f5c3629799e |
completed | May 8, 2026, 7:04 a.m. |
Created at: May 3, 2026, 4:06 p.m.