Triple
T2021826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Clarke Manning |
E44121
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Manning
Manning is an English-language surname borne by numerous notable figures across politics, sports, literature, and other fields.
|
E225250
|
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: Manning | Statement: [Elizabeth Clarke Manning, familyName, Manning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manning Context triple: [Elizabeth Clarke Manning, familyName, Manning]
-
A.
Wentz
Wentz is the surname of Carson Wentz, an American football quarterback known for his time with the Philadelphia Eagles and other NFL teams.
-
B.
Brady
Brady is a common English surname of Irish origin, borne by numerous notable figures in sports, entertainment, and public life.
-
C.
Goff
Goff is a surname most notably associated with Bruce Goff, an innovative American architect known for his unconventional and organic designs.
-
D.
Emmitt
Emmitt is a masculine given name most famously associated with Pro Football Hall of Fame running back Emmitt Smith.
-
E.
Tully Marshall
Tully Marshall was an American character actor of the silent and early sound film era, known for his prolific work in supporting roles across numerous Hollywood productions.
- 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: Manning Triple: [Elizabeth Clarke Manning, familyName, Manning]
Generated description
Manning is an English-language surname borne by numerous notable figures across politics, sports, literature, and other fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Manning Target entity description: Manning is an English-language surname borne by numerous notable figures across politics, sports, literature, and other fields.
-
A.
Wentz
Wentz is the surname of Carson Wentz, an American football quarterback known for his time with the Philadelphia Eagles and other NFL teams.
-
B.
Brady
Brady is a common English surname of Irish origin, borne by numerous notable figures in sports, entertainment, and public life.
-
C.
Goff
Goff is a surname most notably associated with Bruce Goff, an innovative American architect known for his unconventional and organic designs.
-
D.
Emmitt
Emmitt is a masculine given name most famously associated with Pro Football Hall of Fame running back Emmitt Smith.
-
E.
Tully Marshall
Tully Marshall was an American character actor of the silent and early sound film era, known for his prolific work in supporting roles across numerous Hollywood productions.
- 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_69a8891201bc8190aca837be6de41579 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb8efbe148190901d3650aa60408a |
completed | March 7, 2026, 5:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0af60fac8190bc8c8a212a422305 |
completed | March 8, 2026, 11:49 p.m. |
| NEDg | Description generation | batch_69ae0b8bd2bc8190a6f16519f3f6e924 |
completed | March 8, 2026, 11:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0bf5364c8190bffbbd211a5e11a6 |
completed | March 8, 2026, 11:53 p.m. |
Created at: March 4, 2026, 7:38 p.m.