Triple
T19476967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worcester Warriors |
E487269
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object |
Chris Pennell
Chris Pennell is an English rugby union fullback best known for his long-standing career with Worcester Warriors and his single cap for the England national team.
|
E1418196
|
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: Chris Pennell | Statement: [Worcester Warriors, notablePlayer, Chris Pennell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Pennell Context triple: [Worcester Warriors, notablePlayer, Chris Pennell]
-
A.
John Luessenhop
John Luessenhop is an American film director and screenwriter best known for helming genre and action films, including the horror sequel "Texas Chainsaw 3D."
-
B.
Christopher Jahnke
Christopher Jahnke is an American musical theatre orchestrator known for his work on numerous Broadway productions.
-
C.
Eric Danchick
Eric Danchick is a film producer known for his work on the movie "Bound 2."
-
D.
Jeffrey Penner
Jeffrey Penner is an individual associated with the use or authorship of the work or tool referred to as "Penner."
-
E.
Chris Sievernich
Chris Sievernich is a German film producer best known for his work on acclaimed art-house and independent films, including Wim Wenders’ "Paris, Texas."
- 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: Chris Pennell Triple: [Worcester Warriors, notablePlayer, Chris Pennell]
Generated description
Chris Pennell is an English rugby union fullback best known for his long-standing career with Worcester Warriors and his single cap for the England national team.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chris Pennell Target entity description: Chris Pennell is an English rugby union fullback best known for his long-standing career with Worcester Warriors and his single cap for the England national team.
-
A.
John Luessenhop
John Luessenhop is an American film director and screenwriter best known for helming genre and action films, including the horror sequel "Texas Chainsaw 3D."
-
B.
Christopher Jahnke
Christopher Jahnke is an American musical theatre orchestrator known for his work on numerous Broadway productions.
-
C.
Eric Danchick
Eric Danchick is a film producer known for his work on the movie "Bound 2."
-
D.
Jeffrey Penner
Jeffrey Penner is an individual associated with the use or authorship of the work or tool referred to as "Penner."
-
E.
Chris Sievernich
Chris Sievernich is a German film producer best known for his work on acclaimed art-house and independent films, including Wim Wenders’ "Paris, Texas."
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633f1f8688190a2df574a9e0a194d |
completed | April 20, 2026, 2:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0843d0bac081909a28d9eb69ec1ac3 |
completed | May 16, 2026, 10:15 a.m. |
| NEDg | Description generation | batch_6a0844b2ef688190908b9ad5cf554907 |
completed | May 16, 2026, 10:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0845e241048190ba7fb657d4dca3d7 |
completed | May 16, 2026, 10:24 a.m. |
Created at: April 10, 2026, 1:39 p.m.