Triple
T16038765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angelica Ross |
E389037
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ross
Ross is a common English and Scottish surname borne by numerous notable individuals across entertainment, politics, sports, and other fields.
|
E87043
|
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: Ross | Statement: [Angelica Ross, familyName, Ross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ross Context triple: [Angelica Ross, familyName, Ross]
-
A.
John
John is the first name of J. Michael Luttig, a prominent American conservative jurist and former federal appellate judge.
-
B.
John
John B. Magruder was a Confederate major general during the American Civil War, known for his leadership in the Peninsula Campaign and his flamboyant personality.
-
C.
John
John is the given name of Prince Alexander John of Wales, a short-lived British royal infant of the 19th century.
-
D.
John
John is the given name of Sir John Woodville, a 15th-century English nobleman associated with the influential Woodville family during the Wars of the Roses.
-
E.
John
John is the given name of John André, the British Army officer and spymaster during the American Revolutionary War who was executed for his role in Benedict Arnold’s treason.
- 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: Ross Triple: [Angelica Ross, familyName, Ross]
Generated description
Ross is a common English and Scottish surname borne by numerous notable individuals across entertainment, politics, sports, and other fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ross Target entity description: Ross is a common English and Scottish surname borne by numerous notable individuals across entertainment, politics, sports, and other fields.
-
A.
Ross
chosen
Ross is a common Scottish-origin surname borne by numerous notable figures across fields such as politics, science, arts, and sports.
-
B.
Ross
Ross is a small, affluent residential town in Marin County, California, known for its wooded setting and quiet, upscale character.
-
C.
Ross
Ross is a historic region in the Scottish Highlands traditionally associated with Clan Ross and known for its rugged landscapes and coastal scenery.
-
D.
Ross
Ross is a masculine given name of Scottish and English origin, commonly used in English-speaking countries.
-
E.
John
John is the first name of J. Michael Luttig, a prominent American conservative jurist and former federal appellate judge.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1833eb90c8190b10dca3ce0793ddf |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbd5acb48190a10e40074fffd425 |
completed | May 10, 2026, 1:13 a.m. |
| NEDg | Description generation | batch_69ffdd527cfc8190a616a2334edffd02 |
completed | May 10, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffdda1a0908190b7c880c5d66f7400 |
completed | May 10, 2026, 1:21 a.m. |
Created at: April 10, 2026, 4:56 a.m.