Triple
T18438776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darlene Alderson |
E450467
|
entity |
| Predicate | worksAgainst |
P47485
|
FINISHED |
| Object | E Corp |
—
|
NE NERFINISHED |
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: E Corp | Statement: [Darlene Alderson, worksAgainst, E Corp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E Corp Context triple: [Darlene Alderson, worksAgainst, E Corp]
-
A.
E Corp
chosen
E Corp is the powerful, corrupt multinational conglomerate that serves as the main corporate antagonist in the television series "Mr. Robot."
-
B.
Taylor Corporation
Taylor Corporation is a large privately held American printing and marketing communications company founded and owned by businessman Glen Taylor.
-
C.
Far Corporation
Far Corporation was a German-based studio supergroup formed by producer Frank Farian, best known for its rock-oriented cover of Led Zeppelin’s “Stairway to Heaven” in the 1980s.
-
D.
Marcus Corporation
Marcus Corporation is a U.S.-based company best known for its movie theatre and hospitality businesses, including operating cinema chains and hotels.
-
E.
X Corp.
X Corp. is Elon Musk’s rebranded parent company of the social media platform X (formerly Twitter), overseeing his broader vision for an “everything app” and related technology ventures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51c0ed6708190ae90efd8455ec352 |
completed | April 19, 2026, 6:16 p.m. |
Created at: April 10, 2026, 11:29 a.m.