Triple
T9418990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teresa Palmer |
E227101
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Lights Out
Lights Out is a 2016 supernatural horror film about a family terrorized by a malevolent entity that appears only in the dark.
|
E798366
|
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: Lights Out | Statement: [Teresa Palmer, notableWork, Lights Out]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lights Out Context triple: [Teresa Palmer, notableWork, Lights Out]
-
A.
Lights Out
"Lights Out" is the second studio album by American rapper Lil Wayne, released in 2000 as the follow-up to his debut "Tha Block Is Hot."
-
B.
Lights Out
"Lights Out" is a hard-hitting West Coast hip-hop track by Westside Connection known for its aggressive lyrics and gangsta rap style.
-
C.
Lights Out
"Lights Out" is a 2011 American sports drama film in which Pablo Schreiber plays a key supporting role in the story of a former heavyweight boxing champion attempting a comeback.
-
D.
Lights Out March
Lights Out March is a musical composition that served as the basis for the University of California, Berkeley’s fight song "Fight for California."
-
E.
Lights Off
"Lights Off" is a track by Lil Wayne from his debut studio album "Tha Block Is Hot," showcasing his early Southern hip-hop style.
- 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: Lights Out Triple: [Teresa Palmer, notableWork, Lights Out]
Generated description
Lights Out is a 2016 supernatural horror film about a family terrorized by a malevolent entity that appears only in the dark.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lights Out Target entity description: Lights Out is a 2016 supernatural horror film about a family terrorized by a malevolent entity that appears only in the dark.
-
A.
Lights Out
"Lights Out" is a hard-hitting West Coast hip-hop track by Westside Connection known for its aggressive lyrics and gangsta rap style.
-
B.
Lights Out
"Lights Out" is the second studio album by American rapper Lil Wayne, released in 2000 as the follow-up to his debut "Tha Block Is Hot."
-
C.
Lights Out
"Lights Out" is a 2011 American sports drama film in which Pablo Schreiber plays a key supporting role in the story of a former heavyweight boxing champion attempting a comeback.
-
D.
Lights Out March
Lights Out March is a musical composition that served as the basis for the University of California, Berkeley’s fight song "Fight for California."
-
E.
Lights Off
"Lights Off" is a track by Lil Wayne from his debut studio album "Tha Block Is Hot," showcasing his early Southern hip-hop style.
- 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd6c23c65081908d1009c26be66533 |
completed | April 1, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107c4d73881909ac38781fe90b1da |
completed | April 4, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_69d1085a980c8190b4c6d811b07ab180 |
completed | April 4, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1093f440481909aa27287019191ac |
completed | April 4, 2026, 12:51 p.m. |
Created at: March 30, 2026, 7:48 p.m.