Triple
T19090648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tricia Helfer |
E467270
|
entity |
| Predicate | voicedCharacter |
P2000
|
FINISHED |
| Object |
EDI
EDI is an artificial intelligence character from the Mass Effect video game series, known for her evolving personality and role as the Normandy's ship AI and later as a humanoid squadmate.
|
E1357887
|
NE FINISHED |
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: EDI | Statement: [Tricia Helfer, voicedCharacter, EDI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EDI Context triple: [Tricia Helfer, voicedCharacter, EDI]
-
A.
EDI
EDI is the three-letter IATA airport code for Edinburgh Airport, the main international airport serving Scotland’s capital city.
-
B.
EDI
EDI is the official abbreviation for the Swiss Federal Department of Home Affairs, a key government ministry responsible for social security, health, culture, and related domestic affairs.
-
C.
IDOC
IDOC is the state agency responsible for overseeing prisons, community-based corrections, and offender rehabilitation in Iowa.
-
D.
IDOC
IDOC is the state agency responsible for overseeing prisons, parole, and related correctional services in Illinois.
-
E.
ESB
ESB is the vehicle registration code used on license plates for the Neustadt an der Waldnaab district in Bavaria, Germany.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: EDI Triple: [Tricia Helfer, voicedCharacter, EDI]
Generated description
EDI is an artificial intelligence character from the Mass Effect video game series, known for her evolving personality and role as the Normandy's ship AI and later as a humanoid squadmate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EDI Target entity description: EDI is an artificial intelligence character from the Mass Effect video game series, known for her evolving personality and role as the Normandy's ship AI and later as a humanoid squadmate.
-
A.
EDI
EDI is the three-letter IATA airport code for Edinburgh Airport, the main international airport serving Scotland’s capital city.
-
B.
EDI
EDI is the official abbreviation for the Swiss Federal Department of Home Affairs, a key government ministry responsible for social security, health, culture, and related domestic affairs.
-
C.
IDOC
IDOC is the state agency responsible for overseeing prisons, parole, and related correctional services in Illinois.
-
D.
IDOC
IDOC is the state agency responsible for overseeing prisons, community-based corrections, and offender rehabilitation in Iowa.
-
E.
ESB
ESB is the vehicle registration code used on license plates for the Neustadt an der Waldnaab district in Bavaria, Germany.
- F. None of above. chosen
Provenance (5 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e34b6b348190bb868356ed8b655a |
completed | April 20, 2026, 8:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05dd9273cc81909dc0252b5959b050 |
completed | May 14, 2026, 2:34 p.m. |
| NEDg | Description generation | batch_6a05dfddc64c81909e630fd628f7b8e6 |
completed | May 14, 2026, 2:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05e09c58308190975c69c86482292a |
completed | May 14, 2026, 2:47 p.m. |
Created at: April 10, 2026, 12:04 p.m.