Triple
T15066124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lilyan Tashman |
E379759
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Tashman
Tashman is a surname most notably associated with American stage and film actress Lilyan Tashman, a prominent figure of early Hollywood cinema.
|
E1134657
|
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: Tashman | Statement: [Lilyan Tashman, familyName, Tashman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tashman Context triple: [Lilyan Tashman, familyName, Tashman]
-
A.
Kiali
Kiali is an observability and management console for Istio-based service meshes, providing traffic visualization, configuration insight, and troubleshooting tools.
-
B.
Tashir
Tashir is a small town located in Armenia’s northern Lori Province.
-
C.
Tolo
Tolo is a coastal village and popular tourist resort in the Argolis region of the Peloponnese in Greece, known for its beaches and proximity to historic sites like Nafplio.
-
D.
Tolo
Tolo is an alternative name for the Talise language, an Austronesian language spoken in the Solomon Islands.
-
E.
Tamasopo
Tamasopo is a small town in the Huasteca Potosina region of San Luis Potosí, Mexico, known for its lush landscapes and popular nearby waterfalls and natural swimming areas.
- 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: Tashman Triple: [Lilyan Tashman, familyName, Tashman]
Generated description
Tashman is a surname most notably associated with American stage and film actress Lilyan Tashman, a prominent figure of early Hollywood cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tashman Target entity description: Tashman is a surname most notably associated with American stage and film actress Lilyan Tashman, a prominent figure of early Hollywood cinema.
-
A.
Kiali
Kiali is an observability and management console for Istio-based service meshes, providing traffic visualization, configuration insight, and troubleshooting tools.
-
B.
Tashir
Tashir is a small town located in Armenia’s northern Lori Province.
-
C.
Tolo
Tolo is a coastal village and popular tourist resort in the Argolis region of the Peloponnese in Greece, known for its beaches and proximity to historic sites like Nafplio.
-
D.
Tolo
Tolo is an alternative name for the Talise language, an Austronesian language spoken in the Solomon Islands.
-
E.
Tamasopo
Tamasopo is a small town in the Huasteca Potosina region of San Luis Potosí, Mexico, known for its lush landscapes and popular nearby waterfalls and natural swimming areas.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedeea750c819082d8823c9ab6c5a2 |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5cb04e88190a42bb0e516df61bc |
completed | May 9, 2026, 3:11 a.m. |
| NEDg | Description generation | batch_69fea66a04988190b483210c1671d287 |
completed | May 9, 2026, 3:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea70e2fbc81908f168925b06bdbd6 |
completed | May 9, 2026, 3:16 a.m. |
Created at: April 10, 2026, 3:02 a.m.