Triple
T17607056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieutenant Hiram Coffey |
E428859
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Coffey
Coffey is a surname of English and Irish origin borne by various individuals, including the fictional character Lieutenant Hiram Coffey.
|
E1277860
|
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: Coffey | Statement: [Lieutenant Hiram Coffey, familyName, Coffey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coffey Context triple: [Lieutenant Hiram Coffey, familyName, Coffey]
-
A.
Ryan Coffey
Ryan Coffey is an actor known for appearing in the comedy film "Coffee Town."
-
B.
Scoggins
Scoggins is a minor supporting character in the 1999 science fiction horror film "Deep Blue Sea," which centers on genetically enhanced sharks in an underwater research facility.
-
C.
Saltykoff
Saltykoff is a variant spelling of the Russian noble family name Saltykov, historically associated with an influential aristocratic lineage in Russia.
-
D.
McFeely
McFeely is the middle name of beloved American children's television host Fred Rogers, famously known as Mister Rogers.
-
E.
Cooney
Cooney is a surname most notably associated with Gerry Cooney, an American former professional heavyweight boxer known for his powerful punching.
- 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: Coffey Triple: [Lieutenant Hiram Coffey, familyName, Coffey]
Generated description
Coffey is a surname of English and Irish origin borne by various individuals, including the fictional character Lieutenant Hiram Coffey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Coffey Target entity description: Coffey is a surname of English and Irish origin borne by various individuals, including the fictional character Lieutenant Hiram Coffey.
-
A.
Ryan Coffey
Ryan Coffey is an actor known for appearing in the comedy film "Coffee Town."
-
B.
Scoggins
Scoggins is a minor supporting character in the 1999 science fiction horror film "Deep Blue Sea," which centers on genetically enhanced sharks in an underwater research facility.
-
C.
Saltykoff
Saltykoff is a variant spelling of the Russian noble family name Saltykov, historically associated with an influential aristocratic lineage in Russia.
-
D.
McFeely
McFeely is the middle name of beloved American children's television host Fred Rogers, famously known as Mister Rogers.
-
E.
Cooney
Cooney is a surname most notably associated with Gerry Cooney, an American former professional heavyweight boxer known for his powerful punching.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c4ccef08190aeaa88670364bd74 |
completed | April 19, 2026, 5:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01e8201678819094fc43c1fcde7203 |
completed | May 11, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_6a01ecfb2ff4819082f67ab1f2ce8885 |
completed | May 11, 2026, 2:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01ee0c03e881908aaaa3bd0f596387 |
completed | May 11, 2026, 2:56 p.m. |
Created at: April 10, 2026, 5:51 a.m.