Triple
T24437207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armand Point |
E616157
|
entity |
| Predicate | workshopFounded |
P147882
|
FINISHED |
| Object |
Hauteclaire
Hauteclaire was the artistic workshop founded by French Symbolist painter Armand Point, known for its revival of medieval and Renaissance craftsmanship and ideals.
|
E1634581
|
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: Hauteclaire | Statement: [Armand Point, workshopFounded, Hauteclaire]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hauteclaire Triple: [Armand Point, workshopFounded, Hauteclaire]
Generated description
Hauteclaire was the artistic workshop founded by French Symbolist painter Armand Point, known for its revival of medieval and Renaissance craftsmanship and ideals.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workshopFounded Context triple: [Armand Point, workshopFounded, Hauteclaire]
-
A.
hasWorkshopsAt
Indicates that an entity conducts, hosts, or offers workshops at a specified location or venue.
-
B.
workshopOrStudio
chosen
Indicates that one entity functions as a workshop or studio associated with, used by, or belonging to another entity.
-
C.
workshopMark
Indicates that an entity has been designated, labeled, or flagged in the context of a workshop-related process or activity.
-
D.
workshopInTitleIndicates
Indicates that the presence of the word "workshop" in a title signifies that the associated event, session, or item is a workshop.
-
E.
hasWorkshops
Indicates that one entity offers, hosts, or is associated with one or more workshops for another entity.
- F. None of above.
Provenance (6 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_69e2d7ec44b081909ccaf1f3bbec0641 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29786fbcc819090a04bf62c03e9a1 |
completed | April 29, 2026, 11:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0fe37b49d88190a5bf0c66c54d0f6d |
completed | May 22, 2026, 5:02 a.m. |
| NEDg | Description generation | batch_6a0fe44e2f9c8190a16f81052341c70a |
completed | May 22, 2026, 5:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0fe4e5d698819092a5d1b75f213ca0 |
completed | May 22, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69f287d3237c819099559c00f83131d8 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:16 a.m.