Triple
T11450660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawler, Iowa |
E271384
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Lawler |
E594834
|
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: Lawler | Statement: [Lawler, Iowa, namedAfter, Lawler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lawler Context triple: [Lawler, Iowa, namedAfter, Lawler]
-
A.
Lawler
chosen
Lawler is a surname most prominently associated with American mixed martial artist and former UFC Welterweight Champion Robbie Lawler.
-
B.
Laur
Laur is a rural municipality in the province of Nueva Ecija in the Philippines, known for its agricultural landscape and proximity to the Sierra Madre mountain range.
-
C.
Lauer
Lauer is a small Norwegian island located in the Hvaler archipelago, known for its coastal scenery and traditional holiday cottages.
-
D.
Lauer
Lauer is a surname of French origin borne by various notable individuals in fields such as archaeology, media, and politics.
-
E.
Legler
Legler is a surname most notably associated with Tim Legler, a former NBA player and current basketball analyst.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d81c6e496c8190b0a1919c29d4ee60 |
completed | April 9, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d3cb63408190a96b97f716d46082 |
completed | April 20, 2026, 7:20 a.m. |
Created at: April 8, 2026, 9:35 p.m.