Triple
T12092853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holden Elizabeth plant |
E287989
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object |
Elizabeth
Elizabeth is a city in New Jersey known as a major industrial and transportation hub near Newark and New York City.
|
E55624
|
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: Elizabeth | Statement: [Holden Elizabeth plant, city, Elizabeth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Context triple: [Holden Elizabeth plant, city, Elizabeth]
-
A.
Elizabeth
Elizabeth "Betty" Ford was the influential First Lady of the United States from 1974 to 1977, renowned for her advocacy on women's rights, breast cancer awareness, and addiction treatment.
-
B.
Elizabeth
Elizabeth is the birth name of American comedian, writer, and actress Tina Fey, known for her work on "Saturday Night Live" and "30 Rock."
-
C.
Elizabeth
Elizabeth is the middle name of Diane Elizabeth Dern, an individual likely known in relation to the Dern family.
-
D.
Elizabeth
Elizabeth is the birth name of American actress and singer Betty Hutton, a popular Hollywood star of the 1940s and 1950s.
-
E.
Elizabeth
Elizabeth is the given name of Elizabeth Camilla Julia "Lisl" Godowsky, an individual associated with the Godowsky family.
- 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: Elizabeth Triple: [Holden Elizabeth plant, city, Elizabeth]
Generated description
Elizabeth is a city in New Jersey known as a major industrial and transportation hub near Newark and New York City.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Target entity description: Elizabeth is a city in New Jersey known as a major industrial and transportation hub near Newark and New York City.
-
A.
Elizabeth
chosen
Elizabeth is a city in northeastern New Jersey that forms part of the greater New York metropolitan area.
-
B.
Elizabeth
Elizabeth is a suburban electorate in South Australia known for its working-class community and industrial heritage within the northern Adelaide region.
-
C.
Elizabeth
Elizabeth is the first name of Elizabeth Warren, a prominent American politician and U.S. senator from Massachusetts known for her work on consumer protection and economic inequality.
-
D.
Elizabeth
Elizabeth is a biblical figure in the New Testament, known as the mother of John the Baptist and a relative of Mary, the mother of Jesus.
-
E.
Elizabeth
Elizabeth is the full given name of Betsy McCaughey, an American politician, writer, and former lieutenant governor of New York.
- F. None of above.
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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9151797988190b0d007ea806bcf02 |
completed | April 10, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f66d1b44819091f638d2a621ecde |
completed | May 2, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69f600b6769481909d0308c8f77b2ef3 |
completed | May 2, 2026, 1:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f601e7f3b0819098a2245b9f9316b9 |
completed | May 2, 2026, 1:53 p.m. |
Created at: April 8, 2026, 9:48 p.m.