Triple
T5398271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clybourne Park |
E120709
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Lindsey |
E115401
|
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: Lindsey | Statement: [Clybourne Park, character, Lindsey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lindsey Context triple: [Clybourne Park, character, Lindsey]
-
A.
Lindsey
chosen
Lindsey is a given name commonly used in English-speaking countries for both females and males.
-
B.
Lindsay
Lindsay is a surname most notably associated with American poet Vachel Lindsay, a key figure in early 20th-century performance and visionary poetry.
-
C.
Lindsay
Lindsay is the fugitive Australian protagonist of Gregory David Roberts' novel "Shantaram," who rebuilds his life in the underworld of Bombay.
-
D.
Lindsey Nelson
Lindsey Nelson was a prominent American sportscaster best known for his play-by-play broadcasting of college football and New York Mets baseball games.
-
E.
Lindsay Edgecomb
Lindsay Edgecomb is a popular high school student and the protagonist’s best friend in the teen drama film "Before I Fall."
- 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_69bd4637b92c8190b815b6443ae4b323 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87485d5c819096ae574b1badc9d5 |
completed | March 20, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf337f08088190a3678de0932b8310 |
completed | March 22, 2026, 12:10 a.m. |
Created at: March 20, 2026, 2:04 p.m.