Triple
T6993620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janet Shearon |
E162145
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Shearon
Shearon is a surname most notably associated with Janet Shearon, the first wife of astronaut Neil Armstrong.
|
E635860
|
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: Shearon | Statement: [Janet Shearon, familyName, Shearon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shearon Context triple: [Janet Shearon, familyName, Shearon]
-
A.
Sarina
Sarina is a Dutch football manager and former player best known for coaching top international women’s national teams, including the Netherlands and England.
-
B.
Sarina
Sarina is a small coastal town and sugar-growing community in Queensland, Australia, located south of Mackay.
-
C.
Loralai
Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
-
D.
Erial
Erial is a residential unincorporated community and neighborhood located within Gloucester Township in Camden County, New Jersey.
-
E.
Kohunlich
Kohunlich is a large Maya archaeological site in southern Quintana Roo, Mexico, noted for its monumental architecture and well-preserved stucco masks.
- 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: Shearon Triple: [Janet Shearon, familyName, Shearon]
Generated description
Shearon is a surname most notably associated with Janet Shearon, the first wife of astronaut Neil Armstrong.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shearon Target entity description: Shearon is a surname most notably associated with Janet Shearon, the first wife of astronaut Neil Armstrong.
-
A.
Sarina
Sarina is a Dutch football manager and former player best known for coaching top international women’s national teams, including the Netherlands and England.
-
B.
Sarina
Sarina is a small coastal town and sugar-growing community in Queensland, Australia, located south of Mackay.
-
C.
Loralai
Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
-
D.
Erial
Erial is a residential unincorporated community and neighborhood located within Gloucester Township in Camden County, New Jersey.
-
E.
Kohunlich
Kohunlich is a large Maya archaeological site in southern Quintana Roo, Mexico, noted for its monumental architecture and well-preserved stucco masks.
- 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_69c68856d7808190ab33ee914640281b |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbeaa88c8190a49f8504c1793e1f |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a1adec88190a769ec7af0fa7b51 |
completed | March 28, 2026, 5:41 a.m. |
| NEDg | Description generation | batch_69c76aac21448190ac2b94c836f2f725 |
completed | March 28, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c76b3efc0081909e506f9a828d4fd8 |
completed | March 28, 2026, 5:46 a.m. |
Created at: March 27, 2026, 2:32 p.m.