Triple
T31090889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheryl Ladd |
E792380
|
entity |
| Predicate | seasonJoined |
P56688
|
FINISHED |
| Object |
Charlie's Angels season 2
Charlie's Angels season 2 is the 1977–78 installment of the iconic American crime drama series, notable for introducing Cheryl Ladd as Kris Munroe to replace Farrah Fawcett’s character.
|
E1944202
|
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: Charlie's Angels season 2 | Statement: [Cheryl Ladd, seasonJoined, Charlie's Angels season 2]
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: Charlie's Angels season 2 Triple: [Cheryl Ladd, seasonJoined, Charlie's Angels season 2]
Generated description
Charlie's Angels season 2 is the 1977–78 installment of the iconic American crime drama series, notable for introducing Cheryl Ladd as Kris Munroe to replace Farrah Fawcett’s character.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonJoined Context triple: [Cheryl Ladd, seasonJoined, Charlie's Angels season 2]
-
A.
joinedLeagueInSeason
Indicates that an entity became a member of a particular league starting in a specified season.
-
B.
joinedTeamInSeason
chosen
Indicates that an entity became a member of a specific team during a particular season.
-
C.
seasonOfClub
Indicates the specific season or time period during which a club participates in competitions or is active.
-
D.
joinedClubYear
Indicates the specific year in which an entity became a member of a particular club.
-
E.
leagueEntryYear
Indicates the year in which an entity first entered or joined a particular league.
- 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_69f224ce48348190bd0fc23f656ed683 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a292b2f94ac819099ba9f0b20e3cbe2 |
completed | June 10, 2026, 9:15 a.m. |
| NEDg | Description generation | batch_6a292c16ae008190bac905923bd17425 |
completed | June 10, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a292caa0590819087d6b9d576701697 |
completed | June 10, 2026, 9:21 a.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
Created at: April 29, 2026, 9:02 p.m.