Triple
T14328715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Free-Lance Pallbearers |
E355281
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Harry Sam
Harry Sam is a character in Ishmael Reed's satirical novel "The Free-Lance Pallbearers," representing one of the absurd, grotesque figures populating its dystopian political landscape.
|
E1094306
|
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: Harry Sam | Statement: [The Free-Lance Pallbearers, character, Harry Sam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Sam Context triple: [The Free-Lance Pallbearers, character, Harry Sam]
-
A.
Harry Betts
Harry Betts was an American jazz trombonist, composer, and arranger known for his work in film and television scores.
-
B.
Henry Samson
Henry Samson was a young passenger on the Mayflower who later became a settler in Plymouth Colony in early 17th-century New England.
-
C.
Harry Rowlands
Harry Rowlands is known primarily as the husband of June Rowlands, the first female mayor of Toronto.
-
D.
Harry Hendon
Harry Hendon is a software developer known for creating the RMM1 system.
-
E.
Harry Squire
Harry Squire was a cinematographer best known for his work on the pioneering widescreen travelogue film "This Is Cinerama."
- 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: Harry Sam Triple: [The Free-Lance Pallbearers, character, Harry Sam]
Generated description
Harry Sam is a character in Ishmael Reed's satirical novel "The Free-Lance Pallbearers," representing one of the absurd, grotesque figures populating its dystopian political landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harry Sam Target entity description: Harry Sam is a character in Ishmael Reed's satirical novel "The Free-Lance Pallbearers," representing one of the absurd, grotesque figures populating its dystopian political landscape.
-
A.
Harry Betts
Harry Betts was an American jazz trombonist, composer, and arranger known for his work in film and television scores.
-
B.
Henry Samson
Henry Samson was a young passenger on the Mayflower who later became a settler in Plymouth Colony in early 17th-century New England.
-
C.
Harry Rowlands
Harry Rowlands is known primarily as the husband of June Rowlands, the first female mayor of Toronto.
-
D.
Harry Hendon
Harry Hendon is a software developer known for creating the RMM1 system.
-
E.
Harry Squire
Harry Squire was a cinematographer best known for his work on the pioneering widescreen travelogue film "This Is Cinerama."
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c1c3e70819084b6728ac5c18561 |
completed | April 14, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd46927af48190b91095d852fcacbe |
completed | May 8, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69fd47fa764c8190b1d691f5847b7a05 |
completed | May 8, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd492226888190a014b23e506ab19c |
completed | May 8, 2026, 2:23 a.m. |
Created at: April 10, 2026, 1:13 a.m.