Triple
T20059250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cross |
E499424
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Gary Cross
Gary Cross is a historian and author known for his work on the cultural history of consumerism, leisure, and childhood in the modern world.
|
E1408966
|
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: Gary Cross | Statement: [Cross, hasNotableBearer, Gary Cross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gary Cross Context triple: [Cross, hasNotableBearer, Gary Cross]
-
A.
David C. Cross
David C. Cross was a prominent figure in Arkansas history for whom Cross County was named, likely due to his significant local influence or public service.
-
B.
Dan Cross
Dan Cross is a television writer and producer best known for co-creating the Disney XD comedy series "Pair of Kings."
-
C.
Larry Cross
Larry Cross is an actor known for his role in the film "Embassy."
-
D.
Roger Cross
Roger Cross is a Canadian actor known for prominent roles in science fiction and action television series, including major parts in shows like 24 and Continuum.
-
E.
Damon Cross
Damon Cross is a charismatic and morally ambiguous music executive and love interest in the TV series "Empire."
- 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: Gary Cross Triple: [Cross, hasNotableBearer, Gary Cross]
Generated description
Gary Cross is a historian and author known for his work on the cultural history of consumerism, leisure, and childhood in the modern world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gary Cross Target entity description: Gary Cross is a historian and author known for his work on the cultural history of consumerism, leisure, and childhood in the modern world.
-
A.
David C. Cross
David C. Cross was a prominent figure in Arkansas history for whom Cross County was named, likely due to his significant local influence or public service.
-
B.
Dan Cross
Dan Cross is a television writer and producer best known for co-creating the Disney XD comedy series "Pair of Kings."
-
C.
Larry Cross
Larry Cross is an actor known for his role in the film "Embassy."
-
D.
Roger Cross
Roger Cross is a Canadian actor known for prominent roles in science fiction and action television series, including major parts in shows like 24 and Continuum.
-
E.
Damon Cross
Damon Cross is a charismatic and morally ambiguous music executive and love interest in the TV series "Empire."
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66373e0e08190a6d8a10084eecc4d |
completed | April 20, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08160e5fe481909cac91327be89022 |
completed | May 16, 2026, 7 a.m. |
| NEDg | Description generation | batch_6a0816d3c71081909138d3144a108266 |
completed | May 16, 2026, 7:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a081798cb48819084ab456f79b68eb9 |
completed | May 16, 2026, 7:07 a.m. |
Created at: April 11, 2026, 3:38 p.m.