Triple
T18985403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asher Keddie |
E464542
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Hawke
Hawke is an Australian television film in which Asher Keddie appears, dramatizing the life and political career of former Prime Minister Bob Hawke.
|
E1352424
|
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: Hawke | Statement: [Asher Keddie, notableWork, Hawke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hawke Context triple: [Asher Keddie, notableWork, Hawke]
-
A.
Hawke
Hawke is a surname of English origin borne by various notable individuals across fields such as politics, the military, and the arts.
-
B.
Hawke
Hawke is the customizable main character and central protagonist of the role-playing video game Dragon Age II, whose choices shape the story and world of Kirkwall.
-
C.
Stringfellow Hawke
Stringfellow Hawke is the brooding, virtuoso helicopter pilot and main protagonist of the 1980s TV series "Airwolf."
-
D.
Youngblood Hawke
Youngblood Hawke is a 1962 novel by Herman Wouk that follows the meteoric rise and tragic fall of an ambitious young writer in the American literary world.
-
E.
Arno
The Arno is a major river in central Italy that flows through cities such as Florence and Pisa before emptying into the Ligurian Sea.
- 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: Hawke Triple: [Asher Keddie, notableWork, Hawke]
Generated description
Hawke is an Australian television film in which Asher Keddie appears, dramatizing the life and political career of former Prime Minister Bob Hawke.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hawke Target entity description: Hawke is an Australian television film in which Asher Keddie appears, dramatizing the life and political career of former Prime Minister Bob Hawke.
-
A.
Hawke
Hawke is a surname of English origin borne by various notable individuals across fields such as politics, the military, and the arts.
-
B.
Hawke
Hawke is the customizable main character and central protagonist of the role-playing video game Dragon Age II, whose choices shape the story and world of Kirkwall.
-
C.
Stringfellow Hawke
Stringfellow Hawke is the brooding, virtuoso helicopter pilot and main protagonist of the 1980s TV series "Airwolf."
-
D.
Youngblood Hawke
Youngblood Hawke is a 1962 novel by Herman Wouk that follows the meteoric rise and tragic fall of an ambitious young writer in the American literary world.
-
E.
Arno
The Arno is a major river in central Italy that flows through cities such as Florence and Pisa before emptying into the Ligurian Sea.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d65f7f08819088f56e8e030851b1 |
completed | April 20, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05ad4717f48190a950ac569b8bcf12 |
completed | May 14, 2026, 11:08 a.m. |
| NEDg | Description generation | batch_6a05aedf05c4819096ac6a61ada4b310 |
completed | May 14, 2026, 11:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05afe523208190a97142cd8e3b887b |
completed | May 14, 2026, 11:20 a.m. |
Created at: April 10, 2026, 12:01 p.m.