Triple
T13705621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life with Feathers |
E328632
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | Tedd Pierce |
E923112
|
NE FINISHED |
How this triple was built (2 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: Tedd Pierce | Statement: [Life with Feathers, storyBy, Tedd Pierce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tedd Pierce Context triple: [Life with Feathers, storyBy, Tedd Pierce]
-
A.
Tedd Pierce
chosen
Tedd Pierce was an American screenwriter best known for his work on classic Warner Bros. Looney Tunes and Merrie Melodies cartoons.
-
B.
Larry Pierce
Larry Pierce is a modern editor and translator best known for producing a contemporary English edition of James Ussher’s historical work "Annals of the World."
-
C.
Tom Proulx
Tom Proulx is an American software developer and entrepreneur best known as the co-founder of the financial software company Intuit.
-
D.
Tom Tully
Tom Tully was an American character actor known for his prolific work in mid-20th-century film and television, often portraying gruff but sympathetic authority figures.
-
E.
Robert Hedrock
Robert Hedrock is a mysterious, seemingly immortal figure who secretly leads the Weapon Shops in A. E. van Vogt’s Isher universe, manipulating events across centuries to oppose authoritarian power.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad17732c8190bbd0d73107711c99 |
completed | April 13, 2026, 8:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b06554748190bf76e3383413a3c4 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 9:54 p.m.