Triple
T38579214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wyckoff family |
E929493
|
entity |
| Predicate | hasNotableHomestead |
P2879
|
FINISHED |
| Object |
Wyckoff House
Wyckoff House is a historic Dutch Colonial farmhouse in Brooklyn, New York, recognized as one of the oldest surviving structures in the city and a landmark of early American settlement.
|
E2276028
|
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: Wyckoff House | Statement: [Wyckoff family, hasNotableHomestead, Wyckoff House]
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: Wyckoff House Triple: [Wyckoff family, hasNotableHomestead, Wyckoff House]
Generated description
Wyckoff House is a historic Dutch Colonial farmhouse in Brooklyn, New York, recognized as one of the oldest surviving structures in the city and a landmark of early American settlement.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableHomestead Context triple: [Wyckoff family, hasNotableHomestead, Wyckoff House]
-
A.
hasNotableFarm
Indicates that an entity possesses or is associated with a farm that is considered notable or significant in some recognized way.
-
B.
hasOriginalHomesteadDestroyed
Indicates that an entity’s original homestead or primary dwelling was destroyed.
-
C.
hasNotableHousingEstate
Indicates that a place or area contains a housing estate that is considered significant or noteworthy in some recognized way.
-
D.
hasHome
Indicates that an entity possesses or is associated with a place where it lives or is based.
-
E.
hasHouse
chosen
Indicates that one entity possesses, owns, or is provided with a house in relation to 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_69f76ebd2248819083978362d81fa35e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41ea9521888190a018f566d1d9a76f |
completed | June 29, 2026, 3:46 a.m. |
| NEDg | Description generation | batch_6a41eb27bf388190ab2e5ee91a6b7db7 |
completed | June 29, 2026, 3:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41ebbcc9dc81908c568a8a4603dfb2 |
completed | June 29, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:32 p.m.