Triple
T11117580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adam (Rodin) |
E262927
|
entity |
| Predicate | hasPartOrVersion |
P35
|
FINISHED |
| Object | Adam (plaster version) |
E262927
|
NE FINISHED |
How this triple was built (3 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: Adam (plaster version) | Statement: [Adam (Rodin), hasPartOrVersion, Adam (plaster version)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adam (plaster version) Context triple: [Adam (Rodin), hasPartOrVersion, Adam (plaster version)]
-
A.
ADAM
ADAM is the former name for Microsoft’s lightweight, standalone directory service now known as Active Directory Lightweight Directory Services (AD LDS), used for directory-enabled applications without requiring a full Active Directory domain.
-
B.
Adam
chosen
Adam is a renowned sculpture by Auguste Rodin, notable for its expressive depiction of the biblical figure and housed in the Rodin Museum.
-
C.
Adam
Adam is a common surname of Scottish and English origin, borne by various notable individuals including architects, politicians, and artists.
-
D.
Adam
Adam is a popular stochastic optimization algorithm widely used to train deep learning models by adaptively adjusting learning rates for each parameter.
-
E.
Adam
Adam is a widely used stochastic optimization algorithm in machine learning that combines ideas from momentum and adaptive learning rates to efficiently train deep neural networks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartOrVersion Context triple: [Adam (Rodin), hasPartOrVersion, Adam (plaster version)]
-
A.
hasPart
chosen
Indicates that one entity is a component, segment, or constituent part of another entity.
-
B.
hasVersionIn
Indicates that one entity exists as a specific version or variant within the context, format, or system represented by another entity.
-
C.
hasMultipleVersions
Indicates that an entity exists in more than one distinct version or revision.
-
D.
hasPartIn
Indicates that an entity participates in or plays a role within a larger event, process, or composite entity.
-
E.
hasPartInLegacy
Indicates that an entity includes another entity as a component or constituent specifically within its legacy or historically inherited structure.
- F. None of above.
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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79af638b08190b7ade5eb0cab6b75 |
completed | April 9, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d8084a88190918f1f94ca0119ed |
completed | April 19, 2026, 1:18 a.m. |
| PD | Predicate disambiguation | batch_69d7441cf8188190b8095f622c923156 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:27 p.m.