Triple
T14830639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennifer Lien |
E348691
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Lien
Lien is a surname of various origins, notably borne by American actress Jennifer Lien.
|
E1122282
|
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: Lien | Statement: [Jennifer Lien, familyName, Lien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lien Context triple: [Jennifer Lien, familyName, Lien]
-
A.
Liano
Liano is a given name or nickname commonly used as a shortened form of the Italian name Giuliano.
-
B.
Linkedua
Linkedua is a major bridge and expressway crossing that serves as the second land link between Malaysia and Singapore, easing traffic congestion on the main causeway.
-
C.
Linc
Linc is the nickname of Lincoln Burrows, a central character in the television series "Prison Break."
-
D.
The Linc
The Linc is the popular nickname for Lincoln Financial Field, the home stadium of the NFL’s Philadelphia Eagles.
-
E.
Lia
Lia is a Japanese singer best known for performing iconic anime theme songs, including the opening of Angel Beats!.
- 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: Lien Triple: [Jennifer Lien, familyName, Lien]
Generated description
Lien is a surname of various origins, notably borne by American actress Jennifer Lien.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lien Target entity description: Lien is a surname of various origins, notably borne by American actress Jennifer Lien.
-
A.
Liano
Liano is a given name or nickname commonly used as a shortened form of the Italian name Giuliano.
-
B.
Linkedua
Linkedua is a major bridge and expressway crossing that serves as the second land link between Malaysia and Singapore, easing traffic congestion on the main causeway.
-
C.
Linc
Linc is the nickname of Lincoln Burrows, a central character in the television series "Prison Break."
-
D.
The Linc
The Linc is the popular nickname for Lincoln Financial Field, the home stadium of the NFL’s Philadelphia Eagles.
-
E.
Lia
Lia is a Japanese singer best known for performing iconic anime theme songs, including the opening of Angel Beats!.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded0748eec8190a39c94024c3a3e3e |
completed | April 14, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe38a16fd881909d246d8d1811a673 |
completed | May 8, 2026, 7:25 p.m. |
| NEDg | Description generation | batch_69fe502938dc8190892373403077cfdd |
completed | May 8, 2026, 9:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe509a02c08190bd2171b16584cd64 |
completed | May 8, 2026, 9:07 p.m. |
Created at: April 10, 2026, 1:51 a.m.