Triple
T17046268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Marshall |
E413577
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Lucky 13
Lucky 13 is a film directed by Scott Marshall, best known as one of his notable works in American comedy cinema.
|
E1247942
|
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: Lucky 13 | Statement: [Scott Marshall, notableWork, Lucky 13]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucky 13 Context triple: [Scott Marshall, notableWork, Lucky 13]
-
A.
Lucky Thirteen
Lucky Thirteen is a studio album by Neil Young, released in 1993 as a compilation of tracks spanning his late 1980s to early 1990s work with Geffen Records.
-
B.
Unlucky 13
Unlucky 13 is a crime thriller novel in James Patterson’s Women’s Murder Club series, following the San Francisco–based team of female professionals as they confront a new, high-stakes case.
-
C.
Lucky
Lucky is a bestselling novel by Jackie Collins that follows the glamorous, ruthless world of Lucky Santangelo in the high-stakes realms of power, sex, and crime.
-
D.
Lucky
"Lucky" is a popular Afrobeats/hip-hop song by Ghanaian rapper Sarkodie, known for its smooth blend of rap and melodic vocals.
-
E.
Lucky
"Lucky" is a popular duet by American singers Colbie Caillat and Jason Mraz, known for its mellow acoustic pop style and romantic lyrics.
- 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: Lucky 13 Triple: [Scott Marshall, notableWork, Lucky 13]
Generated description
Lucky 13 is a film directed by Scott Marshall, best known as one of his notable works in American comedy cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lucky 13 Target entity description: Lucky 13 is a film directed by Scott Marshall, best known as one of his notable works in American comedy cinema.
-
A.
Lucky Thirteen
Lucky Thirteen is a studio album by Neil Young, released in 1993 as a compilation of tracks spanning his late 1980s to early 1990s work with Geffen Records.
-
B.
Unlucky 13
Unlucky 13 is a crime thriller novel in James Patterson’s Women’s Murder Club series, following the San Francisco–based team of female professionals as they confront a new, high-stakes case.
-
C.
Lucky
Lucky is a bestselling novel by Jackie Collins that follows the glamorous, ruthless world of Lucky Santangelo in the high-stakes realms of power, sex, and crime.
-
D.
Lucky
"Lucky" is a popular Afrobeats/hip-hop song by Ghanaian rapper Sarkodie, known for its smooth blend of rap and melodic vocals.
-
E.
Lucky
"Lucky" is a popular duet by American singers Colbie Caillat and Jason Mraz, known for its mellow acoustic pop style and romantic lyrics.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3da9e3d8881909f197aba0e4c97e7 |
completed | April 18, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01233fb8d88190a9a6ef6a2f19a499 |
completed | May 11, 2026, 12:30 a.m. |
| NEDg | Description generation | batch_6a012533f9a8819096ab9b821c848dd2 |
completed | May 11, 2026, 12:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0125dead2481908a5c26bda5a7cd1f |
completed | May 11, 2026, 12:42 a.m. |
Created at: April 10, 2026, 5:33 a.m.