Triple
T5063443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jane Lane |
E114082
|
entity |
| Predicate | livesIn |
P40
|
FINISHED |
| Object | Lawndale |
E490361
|
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: Lawndale | Statement: [Jane Lane, livesIn, Lawndale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lawndale Context triple: [Jane Lane, livesIn, Lawndale]
-
A.
Lawndale
chosen
Lawndale is the fictional suburban town that serves as the primary setting of the animated TV series "Daria."
-
B.
Lawndale
Lawndale is a residential neighborhood on Chicago’s West Side known for its historic role in the city’s African American community and its access to rapid transit.
-
C.
Lawndale
Lawndale is a city in Los Angeles County, California, located in the South Bay region of the Greater Los Angeles area.
-
D.
Laurel Heights
Laurel Heights is a San Francisco neighborhood that hosts one of the University of California, San Francisco’s satellite campus sites, known for its mix of residential streets and institutional buildings.
-
E.
Parkwood
Parkwood is a residential neighborhood in the Far Northeast section of Philadelphia, Pennsylvania, known for its suburban-style housing and proximity to major roadways.
- 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd747756bc8190863c426e6fd6e8f7 |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb10778208190a5c6a9457c085491 |
completed | March 21, 2026, 2:53 p.m. |
Created at: March 20, 2026, 1:38 p.m.