Triple
T20541975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Wright |
E504361
|
entity |
| Predicate | InstagramUsername |
P3718
|
FINISHED |
| Object | welcometolaurasworld |
—
|
NE NERFINISHED |
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: welcometolaurasworld | Statement: [Laura Wright, InstagramUsername, welcometolaurasworld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: welcometolaurasworld Context triple: [Laura Wright, InstagramUsername, welcometolaurasworld]
-
A.
LOLA
LOLA is the commonly used abbreviation for "Law & Order: LA," a short-lived spin-off of the long-running "Law & Order" television franchise set in Los Angeles.
-
B.
LOLA
LOLA is a laser altimeter instrument aboard NASA's Lunar Reconnaissance Orbiter used to precisely map the Moon's topography.
-
C.
Think of Laura
"Think of Laura" is a soft rock ballad by Christopher Cross that gained popularity in the 1980s, particularly through its association with the TV soap opera General Hospital.
-
D.
LAU
LAU is a private, internationally oriented university in Lebanon known for its American-style higher education and multiple campuses.
-
E.
LAU
LAU is the vehicle registration code for the German town of Lauf an der Pegnitz in Bavaria.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: welcometolaurasworld Target entity description: welcometolaurasworld is the Instagram account of Laura Wright, where she shares personal content, updates, and insights into her life and interests.
-
A.
LOLA
LOLA is the commonly used abbreviation for "Law & Order: LA," a short-lived spin-off of the long-running "Law & Order" television franchise set in Los Angeles.
-
B.
LOLA
LOLA is a laser altimeter instrument aboard NASA's Lunar Reconnaissance Orbiter used to precisely map the Moon's topography.
-
C.
Think of Laura
"Think of Laura" is a soft rock ballad by Christopher Cross that gained popularity in the 1980s, particularly through its association with the TV soap opera General Hospital.
-
D.
LAU
LAU is a private, internationally oriented university in Lebanon known for its American-style higher education and multiple campuses.
-
E.
LAU
LAU is the vehicle registration code for the German town of Lauf an der Pegnitz in Bavaria.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: InstagramUsername Context triple: [Laura Wright, InstagramUsername, welcometolaurasworld]
-
A.
instagramUsername
chosen
Indicates that one entity is the Instagram handle or username associated with another entity.
-
B.
twitterUsername
Indicates that one entity is the Twitter handle or username associated with another entity.
-
C.
screenName
Indicates the display or handle name associated with an entity, typically used as its visible identifier in user interfaces or social platforms.
-
D.
githubUsername
Indicates that one entity is the GitHub account username associated with another entity.
-
E.
twitterHandle
Indicates that one entity is the Twitter username or account identifier associated with another entity.
- F. None of above.
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_69e0b4b476648190bc6019622ae54d3c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a292dd1c8190b5c3031f3b44eb52 |
completed | April 20, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69e59fe5592c8190bb6122b784496d02 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:37 a.m.