Triple
T2735153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ciarán Hinds |
E60612
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hinds
Hinds is an Irish surname most notably associated with acclaimed actor Ciarán Hinds.
|
E292333
|
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: Hinds | Statement: [Ciarán Hinds, familyName, Hinds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hinds Context triple: [Ciarán Hinds, familyName, Hinds]
-
A.
Dirksen
Dirksen is a surname most notably associated with Everett Dirksen, a prominent mid-20th-century American politician and U.S. Senate Minority Leader.
-
B.
Pendleton
Pendleton is an inner-city district of Salford in Greater Manchester, England, known for its mix of residential areas, retail developments, and post-war social housing.
-
C.
Harris
Harris is a common English-language surname borne by numerous notable individuals across fields such as politics, entertainment, sports, and academia.
-
D.
Uga
Uga is the live English bulldog who serves as the beloved official mascot of the University of Georgia’s athletic teams.
-
E.
Harlan
Harlan is a masculine given name of English origin, historically associated with figures such as U.S. Chief Justice Harlan F. Stone.
- 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: Hinds Triple: [Ciarán Hinds, familyName, Hinds]
Generated description
Hinds is an Irish surname most notably associated with acclaimed actor Ciarán Hinds.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hinds Target entity description: Hinds is an Irish surname most notably associated with acclaimed actor Ciarán Hinds.
-
A.
Dirksen
Dirksen is a surname most notably associated with Everett Dirksen, a prominent mid-20th-century American politician and U.S. Senate Minority Leader.
-
B.
Pendleton
Pendleton is an inner-city district of Salford in Greater Manchester, England, known for its mix of residential areas, retail developments, and post-war social housing.
-
C.
Harris
Harris is a common English-language surname borne by numerous notable individuals across fields such as politics, entertainment, sports, and academia.
-
D.
Uga
Uga is the live English bulldog who serves as the beloved official mascot of the University of Georgia’s athletic teams.
-
E.
Harlan
Harlan is a masculine given name of English origin, historically associated with figures such as U.S. Chief Justice Harlan F. Stone.
- 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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb1022488190af84e536946b2e37 |
completed | March 7, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb6a37fdc8190bcdb33d7352d9e16 |
completed | March 10, 2026, 6:13 a.m. |
| NEDg | Description generation | batch_69afb734d7b08190aeb95e8a9199fb10 |
completed | March 10, 2026, 6:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb7c2b9d08190bce599c364d809b7 |
completed | March 10, 2026, 6:18 a.m. |
Created at: March 6, 2026, 9:56 p.m.