Triple
T5148713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Dog |
E116137
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object |
John Batchelor
John Batchelor is an Australian actor known for his work in film, television, and theatre.
|
E498680
|
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: John Batchelor | Statement: [Red Dog, starredActor, John Batchelor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Batchelor Context triple: [Red Dog, starredActor, John Batchelor]
-
A.
Bill O’Reilly
Bill O’Reilly is an American conservative political commentator, author, and former long-time host of the Fox News program "The O’Reilly Factor."
-
B.
Kevin Barrett
Kevin Barrett is a former New Zealand rugby union player and Taranaki stalwart, best known as the father of All Blacks stars including Beauden Barrett.
-
C.
Sean Hannity
Sean Hannity is a conservative American television and radio host best known for his long-running prime-time show on Fox News.
-
D.
Pete Nance
Pete Nance is an American professional basketball player known for his collegiate career at Northwestern and North Carolina and as the son of former NBA All-Star Larry Nance.
-
E.
Jason Hart
Jason Hart is a former American professional basketball player who later became a college coach.
- 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: John Batchelor Triple: [Red Dog, starredActor, John Batchelor]
Generated description
John Batchelor is an Australian actor known for his work in film, television, and theatre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Batchelor Target entity description: John Batchelor is an Australian actor known for his work in film, television, and theatre.
-
A.
Bill O’Reilly
Bill O’Reilly is an American conservative political commentator, author, and former long-time host of the Fox News program "The O’Reilly Factor."
-
B.
Kevin Barrett
Kevin Barrett is a former New Zealand rugby union player and Taranaki stalwart, best known as the father of All Blacks stars including Beauden Barrett.
-
C.
Sean Hannity
Sean Hannity is a conservative American television and radio host best known for his long-running prime-time show on Fox News.
-
D.
Pete Nance
Pete Nance is an American professional basketball player known for his collegiate career at Northwestern and North Carolina and as the son of former NBA All-Star Larry Nance.
-
E.
Jason Hart
Jason Hart is a former American professional basketball player who later became a college coach.
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78b17028819080568715df8c13eb |
completed | March 20, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becfff6e8c8190883fc981fca95f48 |
completed | March 21, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_69bed3fd1d0081908d7fcaccd6e337ee |
completed | March 21, 2026, 5:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bed4817390819090d48b0784c78ca3 |
completed | March 21, 2026, 5:25 p.m. |
Created at: March 20, 2026, 1:43 p.m.