Triple
T11026258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henrietta Street |
E260626
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Henrietta Crofts
Henrietta Crofts was a woman of sufficient local prominence or influence to have Henrietta Street named in her honor.
|
E1005257
|
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: Henrietta Crofts | Statement: [Henrietta Street, namedAfter, Henrietta Crofts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henrietta Crofts Context triple: [Henrietta Street, namedAfter, Henrietta Crofts]
-
A.
Henrietta Gough
Henrietta Gough was the wife of English actor Michael Gough, known for his prolific work in film, television, and theatre.
-
B.
Edith Luckett
Edith Luckett was an American stage actress best known as the mother of Nancy Reagan, the future First Lady of the United States.
-
C.
Lottie Rawson
Lottie Rawson is a fictional character from the legal drama film "The Verdict," which stars Paul Newman as an alcoholic lawyer seeking redemption through a medical malpractice case.
-
D.
Ethel Clift
Ethel Clift was the sister of acclaimed American actor Montgomery Clift.
-
E.
Dorothy Buxton
Dorothy Buxton was a British social reformer and humanitarian best known for co-founding the international child welfare organization Save the Children.
- 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: Henrietta Crofts Triple: [Henrietta Street, namedAfter, Henrietta Crofts]
Generated description
Henrietta Crofts was a woman of sufficient local prominence or influence to have Henrietta Street named in her honor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Henrietta Crofts Target entity description: Henrietta Crofts was a woman of sufficient local prominence or influence to have Henrietta Street named in her honor.
-
A.
Henrietta Gough
Henrietta Gough was the wife of English actor Michael Gough, known for his prolific work in film, television, and theatre.
-
B.
Edith Luckett
Edith Luckett was an American stage actress best known as the mother of Nancy Reagan, the future First Lady of the United States.
-
C.
Lottie Rawson
Lottie Rawson is a fictional character from the legal drama film "The Verdict," which stars Paul Newman as an alcoholic lawyer seeking redemption through a medical malpractice case.
-
D.
Ethel Clift
Ethel Clift was the sister of acclaimed American actor Montgomery Clift.
-
E.
Dorothy Buxton
Dorothy Buxton was a British social reformer and humanitarian best known for co-founding the international child welfare organization Save the Children.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797d0cd988190a7b21d7bdc3109ce |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68e99c2608190b923ca8a9178fea2 |
completed | May 2, 2026, 11:54 p.m. |
| NEDg | Description generation | batch_69f69061011c81908cb045925cfefdd7 |
completed | May 3, 2026, 12:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69138b40881909e9c74d6d922e1f3 |
completed | May 3, 2026, 12:05 a.m. |
Created at: April 8, 2026, 9:25 p.m.