Triple
T14578348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lu Anne Henderson |
E342116
|
entity |
| Predicate | fictionalCounterpart |
P33843
|
FINISHED |
| Object | Marylou |
E89705
|
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: Marylou | Statement: [Lu Anne Henderson, fictionalCounterpart, Marylou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marylou Context triple: [Lu Anne Henderson, fictionalCounterpart, Marylou]
-
A.
Marylou
chosen
Marylou is a free-spirited, impulsive young woman who embodies the restless, hedonistic energy of the Beat Generation in Jack Kerouac’s novel "On the Road."
-
B.
Molly
Molly is the central female character in James Joyce’s novel "Ulysses," renowned for her candid, stream-of-consciousness monologue that concludes the book.
-
C.
Molly
"Molly" is a song featured on the album *Tell It All Brother*, associated with the country-pop duo Kenny Rogers & The First Edition.
-
D.
Molly
Molly is the central female protagonist in the 1926 silent film "Sparrows," portrayed by Mary Pickford.
-
E.
Molly
Molly is a fictional character played by Irish actress Dominique McElligott, known from her work in film and television.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f5ec448190b2ef887fdf7b633e |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ad03e7881908a783182c6d656b5 |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:24 a.m.