Triple
T6329464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pickens |
E141941
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
George Pickens
George Pickens is an American football wide receiver in the NFL, known for his acrobatic catches and big-play ability.
|
E586747
|
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: George Pickens | Statement: [Pickens, hasNotableBearer, George Pickens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Pickens Context triple: [Pickens, hasNotableBearer, George Pickens]
-
A.
Allen George
Allen George is a writer best known for his work on the film "Fade."
-
B.
Sam Bromell
Sam Bromell is a screenwriter best known for co-writing Baz Luhrmann’s 2022 biographical musical film "Elvis."
-
C.
Trey Burton
Trey Burton is an American former NFL tight end best known for throwing the touchdown pass to Nick Foles on the famous "Philly Special" trick play in Super Bowl LII.
-
D.
Earl Thomas
Earl Thomas is a former NFL free safety best known as a cornerstone of the Seattle Seahawks' "Legion of Boom" defense and a key contributor to their Super Bowl XLVIII championship.
-
E.
Jacquizz Rodgers
Jacquizz Rodgers is a former American football running back best known for his standout collegiate career at Oregon State and subsequent seasons in the NFL.
- 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: George Pickens Triple: [Pickens, hasNotableBearer, George Pickens]
Generated description
George Pickens is an American football wide receiver in the NFL, known for his acrobatic catches and big-play ability.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: George Pickens Target entity description: George Pickens is an American football wide receiver in the NFL, known for his acrobatic catches and big-play ability.
-
A.
Allen George
Allen George is a writer best known for his work on the film "Fade."
-
B.
Sam Bromell
Sam Bromell is a screenwriter best known for co-writing Baz Luhrmann’s 2022 biographical musical film "Elvis."
-
C.
Trey Burton
Trey Burton is an American former NFL tight end best known for throwing the touchdown pass to Nick Foles on the famous "Philly Special" trick play in Super Bowl LII.
-
D.
Earl Thomas
Earl Thomas is a former NFL free safety best known as a cornerstone of the Seattle Seahawks' "Legion of Boom" defense and a key contributor to their Super Bowl XLVIII championship.
-
E.
Jacquizz Rodgers
Jacquizz Rodgers is a former American football running back best known for his standout collegiate career at Oregon State and subsequent seasons in the NFL.
- 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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0651334c08190a9514faa36e7812d |
completed | March 22, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c604154a1c8190b09e74cea2a18624 |
completed | March 27, 2026, 4:14 a.m. |
| NEDg | Description generation | batch_69c605be33b081908a88b14ffc9b7e45 |
completed | March 27, 2026, 4:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6063391c08190be94743c4c326805 |
completed | March 27, 2026, 4:23 a.m. |
Created at: March 22, 2026, 4:30 p.m.