Triple
T12030235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Angeles Center for Enriched Studies |
E286384
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
LACES
LACES is a highly regarded magnet public school in Los Angeles known for its rigorous college-preparatory curriculum and diverse student body.
|
E959979
|
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: LACES | Statement: [Los Angeles Center for Enriched Studies, alsoKnownAs, LACES]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LACES Context triple: [Los Angeles Center for Enriched Studies, alsoKnownAs, LACES]
-
A.
LACE
LACE is a scientific instrument designed to study and analyze the composition of the Moon’s tenuous atmosphere.
-
B.
Laced
Laced is a mystery novel by Carol Higgins Clark featuring her recurring sleuth Regan Reilly in a suspenseful, lighthearted whodunit.
-
C.
LCL
LCL is the standard abbreviation for the Loeb Classical Library, a renowned series of books presenting classical Greek and Latin texts with facing-page English translations.
-
D.
LCL
LCL is a visual component framework used by the Lazarus IDE to build cross-platform graphical user interfaces in Free Pascal.
-
E.
Lazo
Lazo is a nearby settlement in Primorsky Krai, Russia, known for its proximity to the Lazovsky Nature Reserve on the Sea of Japan coast.
- 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: LACES Triple: [Los Angeles Center for Enriched Studies, alsoKnownAs, LACES]
Generated description
LACES is a highly regarded magnet public school in Los Angeles known for its rigorous college-preparatory curriculum and diverse student body.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LACES Target entity description: LACES is a highly regarded magnet public school in Los Angeles known for its rigorous college-preparatory curriculum and diverse student body.
-
A.
LACE
LACE is a scientific instrument designed to study and analyze the composition of the Moon’s tenuous atmosphere.
-
B.
Laced
Laced is a mystery novel by Carol Higgins Clark featuring her recurring sleuth Regan Reilly in a suspenseful, lighthearted whodunit.
-
C.
LCL
LCL is the standard abbreviation for the Loeb Classical Library, a renowned series of books presenting classical Greek and Latin texts with facing-page English translations.
-
D.
LCL
LCL is a visual component framework used by the Lazarus IDE to build cross-platform graphical user interfaces in Free Pascal.
-
E.
Lazo
Lazo is a nearby settlement in Primorsky Krai, Russia, known for its proximity to the Lazovsky Nature Reserve on the Sea of Japan coast.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903f24490819092ec911d6ed8e24b |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48b8d37ec81908d4a1668e932ca5b |
completed | May 1, 2026, 11:16 a.m. |
| NEDg | Description generation | batch_69f48fc8c09c81908b6004eac8bb1c9e |
completed | May 1, 2026, 11:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f495fbfa2481908a1d757a27909d5a |
completed | May 1, 2026, 12:01 p.m. |
Created at: April 8, 2026, 9:47 p.m.