Triple
T13533330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Moore |
E323191
|
entity |
| Predicate | isAmbiguousWith |
P2289
|
FINISHED |
| Object |
Rachel O. Moore
Rachel O. Moore is an individual whose identity is often conflated with that of another person named Rachel Moore, requiring disambiguation in references and records.
|
E1111579
|
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: Rachel O. Moore | Statement: [Rachel Moore, isAmbiguousWith, Rachel O. Moore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachel O. Moore Context triple: [Rachel Moore, isAmbiguousWith, Rachel O. Moore]
-
A.
Rachel A. Moore
Rachel A. Moore is a person whose identity is potentially confusable with that of another individual named Rachel Moore, indicating multiple notable figures sharing similar names.
-
B.
Elizabeth H. Moore
Elizabeth H. Moore is known primarily as the wife of Robert Patterson.
-
C.
Nancy Janice Moore
Nancy Janice Moore is best known as the second wife of long-serving U.S. Senator Strom Thurmond.
-
D.
Deborah Moore
Deborah Moore is a British actress known for her film and television roles and for being the daughter of the late James Bond actor Roger Moore.
-
E.
Danielle H. Moore
Danielle H. Moore is an American public official who serves as the mayor of Palm Beach, Florida.
- 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: Rachel O. Moore Triple: [Rachel Moore, isAmbiguousWith, Rachel O. Moore]
Generated description
Rachel O. Moore is an individual whose identity is often conflated with that of another person named Rachel Moore, requiring disambiguation in references and records.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rachel O. Moore Target entity description: Rachel O. Moore is an individual whose identity is often conflated with that of another person named Rachel Moore, requiring disambiguation in references and records.
-
A.
Rachel A. Moore
Rachel A. Moore is a person whose identity is potentially confusable with that of another individual named Rachel Moore, indicating multiple notable figures sharing similar names.
-
B.
Elizabeth H. Moore
Elizabeth H. Moore is known primarily as the wife of Robert Patterson.
-
C.
Nancy Janice Moore
Nancy Janice Moore is best known as the second wife of long-serving U.S. Senator Strom Thurmond.
-
D.
Deborah Moore
Deborah Moore is a British actress known for her film and television roles and for being the daughter of the late James Bond actor Roger Moore.
-
E.
Danielle H. Moore
Danielle H. Moore is an American public official who serves as the mayor of Palm Beach, Florida.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafbb34548190a6b44faa48125cd4 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5b543308190a86e715106641484 |
completed | May 8, 2026, 12:23 p.m. |
| NEDg | Description generation | batch_69fdd6dd77e481908283b145acae2e9a |
completed | May 8, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdd771cb188190b44d6e4903fa8f6e |
completed | May 8, 2026, 12:30 p.m. |
Created at: April 9, 2026, 9:44 p.m.