Triple
T6999538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisa Ling |
E162298
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | ABC |
E3937
|
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: ABC | Statement: [Lisa Ling, employer, ABC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ABC Context triple: [Lisa Ling, employer, ABC]
-
A.
ABC
chosen
ABC is a major American broadcast television network known for airing a wide range of national programming, including sports championships, news, and entertainment shows.
-
B.
ABC
ABC is a pioneering English new wave band best known for their polished, synth-driven pop sound and the influential 1982 album "The Lexicon of Love."
-
C.
ABC
ABC is the abbreviation commonly used for the Associated British Corporation, a former British television company.
-
D.
ABCO
ABCO is the stock ticker symbol for The Advisory Board Company, a former publicly traded firm that provided research, technology, and consulting services to healthcare and education organizations.
-
E.
ABL
ABL is the commonly used abbreviation for the Academia Brasileira de Letras, Brazil’s foremost literary and language academy.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc0e54c88190b092870f2d128510 |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a2c510c8190b7c86f8b399388ae |
completed | March 28, 2026, 5:42 a.m. |
Created at: March 27, 2026, 2:33 p.m.