Triple
T15577279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On the Road (2012 film) |
E374400
|
entity |
| Predicate | mainCharacter |
P1183
|
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: [On the Road (2012 film), mainCharacter, Marylou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marylou Context triple: [On the Road (2012 film), mainCharacter, 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 the youngest and most endearing orphan girl in the musical "Annie," known for her sweetness and vulnerability.
-
D.
Molly
Molly is a fictional character played by Irish actress Dominique McElligott, known from her work in film and television.
-
E.
Molly
Molly is a feminine given name commonly used in English-speaking countries, often as a diminutive of Mary.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e22c89081909b1ec0cd36a1ef45 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c4b3a8881909d41204a0b243461 |
completed | May 9, 2026, 3:01 p.m. |
Created at: April 10, 2026, 4:11 a.m.