Triple
T12482109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Hastie |
E298337
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hastie
Hastie is a Scottish-origin surname borne by various notable individuals across fields such as law, politics, and academia.
|
E985641
|
NE FINISHED |
How this triple was built (4 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: Hastie | Statement: [William Hastie, familyName, Hastie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hastie Context triple: [William Hastie, familyName, Hastie]
-
A.
Hartigan
Hartigan is a surname most notably associated with Grace Hartigan, a prominent American Abstract Expressionist painter.
-
B.
The Harris
The Harris is a prominent cultural institution in Preston, England, housing an art gallery, museum, and public library within a historic landmark building.
-
C.
Palmore
Palmore is a surname that functions as a variant form of the more common family name Palmer.
-
D.
Shaughnessy
Shaughnessy is an affluent residential neighbourhood in Vancouver, British Columbia, known for its large heritage homes and tree-lined streets.
-
E.
Corwin
Corwin is a surname most notably associated with Jonathan Corwin, a judge involved in the Salem witch trials in 17th-century Massachusetts.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Hastie Triple: [William Hastie, familyName, Hastie]
Generated description
Hastie is a Scottish-origin surname borne by various notable individuals across fields such as law, politics, and academia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hastie Target entity description: Hastie is a Scottish-origin surname borne by various notable individuals across fields such as law, politics, and academia.
-
A.
Hartigan
Hartigan is a surname most notably associated with Grace Hartigan, a prominent American Abstract Expressionist painter.
-
B.
The Harris
The Harris is a prominent cultural institution in Preston, England, housing an art gallery, museum, and public library within a historic landmark building.
-
C.
Palmore
Palmore is a surname that functions as a variant form of the more common family name Palmer.
-
D.
Shaughnessy
Shaughnessy is an affluent residential neighbourhood in Vancouver, British Columbia, known for its large heritage homes and tree-lined streets.
-
E.
Corwin
Corwin is a surname most notably associated with Jonathan Corwin, a judge involved in the Salem witch trials in 17th-century Massachusetts.
- F. None of above. chosen
Provenance (5 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dcef6548190a6d29375bdabd17d |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f29307c8190b024d889d45ba9f7 |
completed | May 2, 2026, 6:15 p.m. |
| NEDg | Description generation | batch_69f6437e88c881909b7f1d55c11b0825 |
completed | May 2, 2026, 6:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f644464c0c8190a8d4ea4914d32e7f |
completed | May 2, 2026, 6:36 p.m. |
Created at: April 8, 2026, 9:56 p.m.