Triple
T37737801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babe |
E940623
|
entity |
| Predicate | representsLifePeriodOf |
P105042
|
FINISHED |
| Object |
young Cher
Young Cher refers to the early career and life stage of the iconic American singer and actress Cher, marked by her rise to fame in the 1960s and 1970s as a pop star and television personality.
|
E2240464
|
NE FINISHED |
How this triple was built (3 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: young Cher | Statement: [Babe, representsLifePeriodOf, young Cher]
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: young Cher Triple: [Babe, representsLifePeriodOf, young Cher]
Generated description
Young Cher refers to the early career and life stage of the iconic American singer and actress Cher, marked by her rise to fame in the 1960s and 1970s as a pop star and television personality.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsLifePeriodOf Context triple: [Babe, representsLifePeriodOf, young Cher]
-
A.
depictsLifePeriod
chosen
Indicates that one entity visually represents or portrays a specific period or phase in the life of another entity.
-
B.
documentedLifePeriodOf
Indicates that a described or recorded time span pertains to, or represents, a specific period in an entity’s life.
-
C.
lifePeriod
Indicates the span of time during which an entity exists, is active, or is valid.
-
D.
sharedLifePeriodWith
Indicates that two entities existed or were alive during at least one overlapping period of time.
-
E.
timePeriodOfLife
Indicates the span or phase of time during which an entity exists, lives, or is active.
- F. None of above.
Provenance (6 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_69f76ee0e32c8190b40a3b4cf590337c |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffbe9e47688190a2692566dc326646 |
completed | May 9, 2026, 11:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40d68991ec8190af0968d223aa9ed5 |
completed | June 28, 2026, 8:08 a.m. |
| NEDg | Description generation | batch_6a40d7e634b48190a99da2222ebc04bd |
completed | June 28, 2026, 8:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a40d96828bc819080bc6fa16564db9f |
completed | June 28, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69ffbb7b45388190b62cbde5c2d435cd |
completed | May 9, 2026, 10:55 p.m. |
Created at: May 3, 2026, 4:18 p.m.