Triple
T3113829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lea Michele |
E65010
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Places
Places is Lea Michele's second studio album, showcasing her vocal talent through a collection of theatrical pop ballads and emotional performances.
|
E327806
|
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: Places | Statement: [Lea Michele, notableWork, Places]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Places Context triple: [Lea Michele, notableWork, Places]
-
A.
Place
Place is an English surname borne by various notable figures, including the 18th–19th century social reformer Francis Place.
-
B.
Places API
Places API is a Google Maps web service that provides detailed information about geographic locations, including place search, details, photos, and autocomplete functionality for applications.
-
C.
Location
The Location header field is an HTTP response header used to indicate the URL to which a client should be redirected or where a newly created resource can be found.
-
D.
SITE Town
SITE Town is an industrial and residential locality in Karachi, Pakistan, known primarily for housing one of the country’s largest industrial estates.
-
E.
Ville
Ville is a common Finnish male given name, especially prevalent in the late 20th century.
- 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: Places Triple: [Lea Michele, notableWork, Places]
Generated description
Places is Lea Michele's second studio album, showcasing her vocal talent through a collection of theatrical pop ballads and emotional performances.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Places Target entity description: Places is Lea Michele's second studio album, showcasing her vocal talent through a collection of theatrical pop ballads and emotional performances.
-
A.
Place
Place is an English surname borne by various notable figures, including the 18th–19th century social reformer Francis Place.
-
B.
Places API
Places API is a Google Maps web service that provides detailed information about geographic locations, including place search, details, photos, and autocomplete functionality for applications.
-
C.
Location
The Location header field is an HTTP response header used to indicate the URL to which a client should be redirected or where a newly created resource can be found.
-
D.
SITE Town
SITE Town is an industrial and residential locality in Karachi, Pakistan, known primarily for housing one of the country’s largest industrial estates.
-
E.
Ville
Ville is a common Finnish male given name, especially prevalent in the late 20th century.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada43c79448190aa72f707319e8c5e |
completed | March 8, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2039b11d4819095ee77d84d6e7b8a |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b20563abdc8190a51e1cfbcc6e0075 |
completed | March 12, 2026, 12:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b205f1b3c08190a63fd9494dc8aee8 |
completed | March 12, 2026, 12:16 a.m. |
Created at: March 8, 2026, 3:04 p.m.